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NS_24Sgmm2PerFrameDerivedVarsEifPNS_22Sgmm2PerSpkDerivedVarsE_ZN5kaldi14MleAmSgmm2AccsD2Ev_ZN5kaldi14MleAmSgmm2AccsD1Ev_ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED2Ev_ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED1Ev_ZNK5kaldi14MleAmSgmm2Accs5CheckERKNS_7AmSgmm2Eb_ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED0Ev_ZN5kaldi10MatrixBaseIdE3RowEi_ZNSt6vectorIN5kaldi6MatrixIdEESaIS2_EED2Ev_ZNSt6vectorIN5kaldi6MatrixIdEESaIS2_EED1Ev_ZNSt6vectorIN5kaldi8SpMatrixIdEESaIS2_EED2Ev_ZNSt6vectorIN5kaldi8SpMatrixIdEESaIS2_EED1Ev_ZN5kaldi14WriteBasicTypeIiEEvRSobT__ZNK5kaldi14MleAmSgmm2Accs5WriteERSob_ZN5kaldi13ReadBasicTypeIiEEvRSibPT__ZN5kaldi8SpMatrixIdE9PrintEigsEPKc_ZN5kaldi17MleAmSgmm2Updater12RenormalizeVERKNS_14MleAmSgmm2AccsEPNS_7AmSgmm2ERKNS_6VectorIdEERKSt6vectorINS_8SpMatrixIdEESaISC_EE_ZN5kaldi8SpMatrixIfE9PrintEigsEPKc_ZNSt6vectorIN5kaldi6MatrixIdEESaIS2_EE17_M_default_appendEm_ZNSt6vectorIN5kaldi6MatrixIdEESaIS2_EE6resizeEm_ZN5kaldi17MleAmSgmm2Updater11ComputeLogAERKNS_14MleAmSgmm2AccsEPSt6vectorINS_6MatrixIdEESaIS6_EE_ZNSt6vectorIN5kaldi8SpMatrixIdEESaIS2_EE17_M_default_appendEm_ZNSt6vectorIN5kaldi8SpMatrixIdEESaIS2_EE6resizeEm_ZN5kaldi17MleAmSgmm2Updater8ComputeQERKNS_14MleAmSgmm2AccsERKNS_7AmSgmm2EPSt6vectorINS_8SpMatrixIdEESaIS9_EE_ZN5kaldi19MleSgmm2SpeakerAccsC2ERKNS_7AmSgmm2Ef_ZN5kaldi19MleSgmm2SpeakerAccsC1ERKNS_7AmSgmm2Ef_ZN5kaldi17MleAmSgmm2Updater13ComputeSMeansERKNS_14MleAmSgmm2AccsERKNS_7AmSgmm2EPSt6vectorINS_8SpMatrixIdEESaIS9_EE_ZNSt6vectorIN5kaldi6VectorIdEESaIS2_EE17_M_default_appendEm_ZN5kaldi14MleAmSgmm2Accs4ReadERSibb_ZN5kaldi14MleAmSgmm2Accs18ResizeAccumulatorsERKNS_7AmSgmm2Etb_ZNSt6vectorIN5kaldi6MatrixIfEESaIS2_EE17_M_default_appendEm_ZN5kaldi17MleAmSgmm2Updater13ComputeMPriorEPNS_7AmSgmm2E_ZNSt6vectorISt6threadSaIS0_EED2Ev_ZNSt6vectorISt6threadSaIS0_EED1Ev_ZN5kaldi16RunMultiThreadedINS_23UpdatePhoneVectorsClassEEEvRKT__ZNK5kaldi17MleAmSgmm2Updater18UpdatePhoneVectorsERKNS_14MleAmSgmm2AccsERKSt6vectorINS_8SpMatrixIdEESaIS6_EERKS4_INS_6MatrixIdEESaISC_EEPNS_7AmSgmm2E_ZN5kaldi16RunMultiThreadedINS_12UpdateWClassEEEvRKT__ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPKcEEvT_S8_St20forward_iterator_tag_ZN5kaldi19MleSgmm2SpeakerAccs11UpdateWithUERKNS_7AmSgmm2EPNS_6VectorIfEEPfS7__ZN5kaldi17MleAmSgmm2Updater7UpdateWERKNS_14MleAmSgmm2AccsERKSt6vectorINS_6MatrixIdEESaIS6_EERKNS_6VectorIdEEPNS_7AmSgmm2E_ZN5kaldi17MleAmSgmm2Updater7UpdateMERKNS_14MleAmSgmm2AccsERKSt6vectorINS_8SpMatrixIdEESaIS6_EERKNS_6VectorIdEEPNS_7AmSgmm2E_ZN5kaldi17MleAmSgmm2Updater10MapUpdateMERKNS_14MleAmSgmm2AccsERKSt6vectorINS_8SpMatrixIdEESaIS6_EERKNS_6VectorIdEEPNS_7AmSgmm2E_ZN5kaldi19MleSgmm2SpeakerAccs9UpdateNoUEPNS_6VectorIfEEPfS4__ZN5kaldi19MleSgmm2SpeakerAccs6UpdateERKNS_7AmSgmm2EfPNS_6VectorIfEEPfS7__ZN5kaldi17MleAmSgmm2Updater7UpdateNERKNS_14MleAmSgmm2AccsERKNS_6VectorIdEEPNS_7AmSgmm2E_ZNK5kaldi17MleAmSgmm2Updater26UpdatePhoneVectorsInternalERKNS_14MleAmSgmm2AccsERKSt6vectorINS_8SpMatrixIdEESaIS6_EERKS4_INS_6MatrixIdEESaISC_EEPNS_7AmSgmm2EPdii_ZN5kaldi23UpdatePhoneVectorsClassclEv_ZN5kaldi17MleAmSgmm2Updater7UpdateUERKNS_14MleAmSgmm2AccsERKNS_6VectorIdEEPNS_7AmSgmm2E_ZN5kaldi17MleAmSgmm2Updater6UpdateERKNS_14MleAmSgmm2AccsEPNS_7AmSgmm2Et_ZTSN5kaldi15KaldiFatalErrorE_ZTSN5kaldi12UpdateWClassE_ZTIN5kaldi12UpdateWClassE_ZTSN5kaldi23UpdatePhoneVectorsClassE_ZTIN5kaldi23UpdatePhoneVectorsClassE_ZTSNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi23UpdatePhoneVectorsClassEEEEEEEE_ZTINSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi23UpdatePhoneVectorsClassEEEEEEEE_ZTSNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEEE_ZTINSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEEE_ZNK5kaldi15KaldiFatalError4whatEv_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEE6_M_runEv_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi26EbwUpdatePhoneVectorsClassEEEEEEE6_M_runEv_ZN5kaldi26EbwUpdatePhoneVectorsClassD2Ev_ZTVN5kaldi26EbwUpdatePhoneVectorsClassE_ZN5kaldi26EbwUpdatePhoneVectorsClassD1Ev_ZN5kaldi26EbwUpdatePhoneVectorsClassD0Ev_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi26EbwUpdatePhoneVectorsClassEEEEEEED2Ev_ZTVNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi26EbwUpdatePhoneVectorsClassEEEEEEEE_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi26EbwUpdatePhoneVectorsClassEEEEEEED1Ev_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi26EbwUpdatePhoneVectorsClassEEEEEEED0Ev_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEED2Ev_ZTVNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEEE_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEED1Ev_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEED0Ev_ZN5kaldi12UpdateWClassD2EvDW.ref.__gxx_personality_v0_ZTVN5kaldi12UpdateWClassE_ZN5kaldi12UpdateWClassD1Ev_ZN5kaldi12UpdateWClassclEv_ZN5kaldi15KaldiFatalErrorD2Ev_ZTVN5kaldi15KaldiFatalErrorE_ZN5kaldi15KaldiFatalErrorD1Ev_ZN5kaldi15KaldiFatalErrorD0Ev_ZN5kaldi12UpdateWClassD0Ev_ZN5kaldi13MessageLogger11LogAndThrowaSERKS0__ZTIN5kaldi15KaldiFatalErrorE_ZN5kaldi17EbwAmSgmm2Updater20ComputePhoneVecStatsERKNS_14MleAmSgmm2AccsERKNS_7AmSgmm2ERKSt6vectorINS_8SpMatrixIdEESaIS9_EEiiRKNS_6VectorIdEEdPSF_PS9__ZN5kaldi17EbwAmSgmm2Updater21UpdateSubstateWeightsERKNS_14MleAmSgmm2AccsES3_PNS_7AmSgmm2E_ZNSt6vectorIN5kaldi6MatrixIdEESaIS2_EED2Ev_ZNSt6vectorIN5kaldi6MatrixIdEESaIS2_EED1Ev_ZNSt6vectorIN5kaldi8SpMatrixIdEESaIS2_EED2Ev_ZNSt6vectorIN5kaldi8SpMatrixIdEESaIS2_EED1Ev_ZN5kaldilsIdEERSoS1_RKNS_10VectorBaseIT_EE_ZNK5kaldi17EbwAmSgmm2Updater10UpdateVarsERKNS_14MleAmSgmm2AccsES3_RKNS_6VectorIdEES7_RKSt6vectorINS_8SpMatrixIdEESaISA_EEPNS_7AmSgmm2E_ZNSt6vectorISt6threadSaIS0_EED2Ev_ZNSt6vectorISt6threadSaIS0_EED1Ev_ZN5kaldi16RunMultiThreadedINS_26EbwUpdatePhoneVectorsClassEEEvRKT__ZNK5kaldi17EbwAmSgmm2Updater18UpdatePhoneVectorsERKNS_14MleAmSgmm2AccsES3_RKSt6vectorINS_8SpMatrixIdEESaIS6_EEPNS_7AmSgmm2E_ZN5kaldi16RunMultiThreadedINS_12UpdateWClassEEEvRKT__ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPKcEEvT_S8_St20forward_iterator_tag_ZNK5kaldi17EbwAmSgmm2Updater7UpdateNERKNS_14MleAmSgmm2AccsES3_RKNS_6VectorIdEES7_PNS_7AmSgmm2E_ZNK5kaldi17EbwAmSgmm2Updater26UpdatePhoneVectorsInternalERKNS_14MleAmSgmm2AccsES3_RKSt6vectorINS_8SpMatrixIdEESaIS6_EEPNS_7AmSgmm2EPdii_ZN5kaldi26EbwUpdatePhoneVectorsClassclEv_ZN5kaldi17EbwAmSgmm2Updater7UpdateWERKNS_14MleAmSgmm2AccsES3_RKNS_6VectorIdEES7_PNS_7AmSgmm2E_ZN5kaldi17EbwAmSgmm2Updater7UpdateUERKNS_14MleAmSgmm2AccsES3_RKNS_6VectorIdEES7_PNS_7AmSgmm2E_ZNK5kaldi17EbwAmSgmm2Updater7UpdateMERKNS_14MleAmSgmm2AccsES3_RKSt6vectorINS_8SpMatrixIdEESaIS6_EESA_RKNS_6VectorIdEESE_PNS_7AmSgmm2E_ZN5kaldi17EbwAmSgmm2Updater6UpdateERKNS_14MleAmSgmm2AccsES3_PNS_7AmSgmm2EtPfS6__ZTSN5kaldi15KaldiFatalErrorE_ZTSN5kaldi12UpdateWClassE_ZTIN5kaldi12UpdateWClassE_ZTSN5kaldi26EbwUpdatePhoneVectorsClassE_ZTIN5kaldi26EbwUpdatePhoneVectorsClassE_ZTSNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi26EbwUpdatePhoneVectorsClassEEEEEEEE_ZTINSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi26EbwUpdatePhoneVectorsClassEEEEEEEE_ZTSNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEEE_ZTINSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEEE_ZNK5kaldi15KaldiFatalError4whatEv_ZN5kaldi15KaldiFatalErrorD2Ev_ZTVN5kaldi15KaldiFatalErrorE_ZN5kaldi15KaldiFatalErrorD1Ev_ZN5kaldi15KaldiFatalErrorD0EvDW.ref.__gxx_personality_v0_ZN5kaldi13MessageLogger11LogAndThrowaSERKS0__ZTIN5kaldi15KaldiFatalErrorE_ZN5kaldi14FmllrSgmm2Accs4InitEii_ZNK5kaldi14FmllrSgmm2Accs16FmllrObjGradientERKNS_7AmSgmm2ERKNS_6MatrixIfEEPS5_S8__ZN5kaldi14FmllrSgmm2Accs26AccumulateForFmllrSubspaceERKNS_7AmSgmm2ERKNS_22Sgmm2FmllrGlobalParamsEPNS_8SpMatrixIdEE_ZN5kaldi14WriteBasicTypeIjEEvRSobT__ZNK5kaldi22Sgmm2FmllrGlobalParams5WriteERSob_ZNK5kaldi7AmSgmm231GetVarScaledSubstateSpeakerMeanIdEEviiiRKNS_22Sgmm2PerSpkDerivedVarsEPNS_10VectorBaseIT_EE_ZN5kaldi14FmllrSgmm2Accs24AccumulateFromPosteriorsERKNS_7AmSgmm2ERKNS_22Sgmm2PerSpkDerivedVarsERKNS_10VectorBaseIfEERKSt6vectorIiSaIiEERKNS_6MatrixIfEEi_ZN5kaldi14FmllrSgmm2Accs10AccumulateERKNS_7AmSgmm2ERKNS_10VectorBaseIfEERKNS_24Sgmm2PerFrameDerivedVarsEifPNS_22Sgmm2PerSpkDerivedVarsE_ZN5kaldi14WriteBasicTypeIiEEvRSobT__ZNK5kaldi14FmllrSgmm2Accs5WriteERSob_ZN5kaldi13ReadBasicTypeIiEEvRSibPT__ZN5kaldi14FmllrSgmm2Accs4ReadERSibb_ZNSt6vectorIN5kaldi6MatrixIfEESaIS2_EE17_M_default_appendEm_ZN5kaldi26EstimateSgmm2FmllrSubspaceERKNS_8SpMatrixIdEEiiPNS_22Sgmm2FmllrGlobalParamsEdDW.ref._ZTISt9exception_ZN5kaldi22Sgmm2FmllrGlobalParams4ReadERSib_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPKcEEvT_S8_St20forward_iterator_tag_ZNK5kaldi14FmllrSgmm2Accs6UpdateERKNS_7AmSgmm2ERKNS_22Sgmm2FmllrGlobalParamsERKNS_16Sgmm2FmllrConfigEPNS_6MatrixIfEEPfSD__ZTSN5kaldi15KaldiFatalErrorE_ZN5kaldi12Sgmm2Project19ComputeLdaTransformERKNS_8SpMatrixIdEES4_iPNS_6MatrixIdEEDW.ref.__gxx_personality_v0_ZN5kaldi13FullGmmNormalD2Ev_ZN5kaldi13FullGmmNormalD1Ev_ZN5kaldi12Sgmm2Project15ProjectVarianceERKNS_6MatrixIdEEbPNS_8SpMatrixIdEE_ZN5kaldi12Sgmm2Project15ProjectVarianceERKNS_6MatrixIdEEbPNS_8SpMatrixIfEE_ZNSt6vectorIN5kaldi8SpMatrixIdEESaIS2_EED2Ev_ZNSt6vectorIN5kaldi8SpMatrixIdEESaIS2_EED1Ev_ZN5kaldi12Sgmm2Project15ApplyProjectionERKNS_6MatrixIfEEPNS_7AmSgmm2E_ZN5kaldi12Sgmm2Project15ComputeLdaStatsERKNS_7FullGmmEPNS_8SpMatrixIdEES6__ZN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-H5H=H 0H5H=H yH5H=EHHH)HHHH9(u_E~yH;x u0D;`u*H AWHRHH9tSH;xu HD;`tH 9H5H=H 7H5H=Lt(A9u=D;Hu4H H5ZHH5@H =H5H=HH9LHHH)HHHH9(EH;x u0D;hu*H AWHRHH9trH;xu HD;htH FH5H=H AH5H=H DH5H=D;4D;0HXHc8H(H`H)HHHH9Hc@HxH+pHH98HS H+SHHHхD` E~ID;huCH H8IH IH ȍRHRH4H9H9tyPAԅ~ HD;htH SH5H=HH IH5H=H MH5H=H fH5H=AH H5HDH5HH@@HH@HDžHAwHSH+H9H}wHHHHpJHS H+SHHH9}cHH@HHX;H ulAHHHHH;@tvHHvH cH5H=H fH5H=H ZH5H=AE9HH5H ]H5H=HDH5HHH9tHH5HH5HHH)HHHH9(8D;z uyJHC H+CHHHƅHX;O uHH8IH IH4$@H@L$$H9tvD;4uLI9tHH;LtH iH5H=H fH5H=H fH5H=HH9tHH5HH5HHH)HHHH9(8J HC H+CHHHƅHX;O uMD;zuGH8KH IH4$@H@L$$H9tu L9tN; u HD;ttH uH5H=H rH5H=H fH5H=4H0AzH HHPH5H`HPHDžXƅ`HHNHH9-HHWHHjHHHHPHHH9H`H9H`HPHHXHH`HHHHDžHHHH9tHPHXHPHHtHu'HHXHP{HHpHGHpHjHHHPHpHH9H`H9H`HPHxHXHH`H HpHHDžxHpHpHH9HxHtHu$HxHXHPHHHPqHHPH`H9tHPHHH0HPH`H9tHHPHPH@@HHH@HXHHH9tHH@HXH0H{`HHPHPHRH@HPHH@HHHHPHH@@H HH@HHHH9tHH@HHH{@HHPHHRH@HHH@H H{pHEdH3%(He[A\A]A^A_]HHPHHHPH`H9HHPHHXHH`HHHPHxHXHH`HHpAWAVAUATUSHxdH%(HD$h1_PttIIIH9u`B9GxuXF~p9~j~fHD$PHD$XHD$`9HD$0D$8H|$0>H H5H=H H5H=HT$0I0LHD$@D$HH|$@t$8Ht$0H|$@Ll$@HcHITIct$H)ItL9t0H9t+HHH?H?H)HHjLHA+D$HATT$~sDkIIHD$HD$(HD$HD$PHD$"D$(\$,Ht$H|$HL9t"HD$0.D$rLH|$H|$@H|$0HT$XH|$PH9HH)HIc $H9Ht$XH+t$PHHD$@D$HH|$@VHD$@D$HH|$@HT$@IL~CDkILt$0L|$P HL9t!HD$@D$0\$4LLH|$@H H5H=HHHH)H9t}HH?H?H)HHjHT$hIc$HHH)H|$`HH9H9tEHHH~'HHD@DBHHHHH|$XH)H|$X|HHHt$XH+t$PHHUHEH)HH9H9sHHELd$XLl$PM9LL)HHHH?H?H)HHjLLHHIHjHLHI9IňM)IMHjHHHL9uVH H5H=HH|$@H)HHjLLHHL$PH;L$XtAHcHT$@HT$PLHU HHL$PHT$XH)HH9rH|$@D$H|$@H|$PHtD$HD$hdH3%(uQHx[]A\A]A^A_HH|$@H|$0H|$PHtHHHH|$@HH=HH5H=Hkaldi::KaldiFatalErrorHHHHHHHH@HHSHHH@HH[HHH@HHGW(HG XG0HHHH@HHSHHH@HH[SHHH@HHGW(HG XG0H[USH8HdH%(HD$(1HHHHs(HHHH@HEH<$HD$H9tHH5HHH<$HD$H9tHHH5@}x+state_occupancies.Dim() == NumPdfs()static_cast(i) < static_cast(num_rows_)static_cast(j2) < pdf2group_.size()static_cast(spk_vars->log_d_jms.size()) == NumGroups()log_like == log_like && log_like - log_like == 0j2 < NumPdfs() && post != NULLstatic_cast(origin)+ static_cast(length) <= static_cast(t.Dim())norm_xform.NumRows() == feat_dimYou asked to increase phn dim to a value lower than the Cannot increase phone subspace dimensionality from Phone subspace dimensionality increased from Phone subspace dimensionality unchanged, since target Covariance is not positive definite, setting to unit!w_jmi_.empty() && "You need to call ComputeWeights() on SGMM."Zero probability (computing transform). Using unit elements of the mean-scatter matrix.Write failure in WriteIntegerVector.Not writing normalizers since they are not present.(*this)[t].tids.size() == (*this)[t].posteriors.size()!n_.empty() && "ComputeNormalizers() must be called."vars->v_s.Dim() == SpkSpaceDim()ComputePdfMappings(): no pdf2group_ map, assuming you are reading in old model.pdf_occupancies.Dim() == NumPdfs()Not splitting substates; current #substates is Getting rid of normalizers as they will no longer be validTotal weight across the GMMs is Entropy of weights in substates is substates, equivalent to perplexity of phn_subspace_dim <= norm_xform.NumCols() + 1phn_subspace_dim > 0 && "Initialize M and w first."Initial phone-subspace dimension must be >= 1, value is You asked to increase spk dim to a value lower than the Cannot increase speaker subspace dimensionality from Speaker subspace dimensionality increased from Added parameters u for speaker-dependent weights.Speaker subspace dimensionality unchanged, since target Reading old model with new code (should still work)J1 > 0 && num_gauss > 0 && feat_dim > 0 && phn_dim > 0 && J2 > 0 && J2 >= J1diag_ubm_.NumGauss() == num_gaussfull_ubm_.NumGauss() == num_gaussSigmaInv_.size() == static_cast(num_gauss)static_cast(r) < static_cast(this->num_rows_)SigmaInv_[i].NumRows() == feat_dim && SigmaInv_[i](0, 0) > 0.0N_.size() == static_cast(num_gauss)N_[i].NumRows() == feat_dim && N_[i].NumCols() == spk_dimSpeaker-weight projections: no.u_.NumRows() == num_gauss && u_.NumCols() == spk_dimSpeaker-weight projections: yes.N_.size() == 0 && u_.NumRows() == 0M_.size() == static_cast(num_gauss)M_[i].NumRows() == feat_dim && M_[i].NumCols() == phn_dimw_.NumRows() == num_gauss && w_.NumCols() == phn_dimv_.size() == static_cast(J1) && c_.size() == static_cast(J2)M_j > 0 && v_[j1].NumRows() == M_j && v_[j1].NumCols() == phn_dimnSubstateWeights >= nSubstatesTotn_.size() == static_cast(J1)n_[j1].NumRows() == num_gauss && n_[j1].NumCols() == NumSubstatesForGroup(j1)w_jmi_.size() == static_cast(J1)w_jmi_[j1].NumRows() == NumSubstatesForGroup(j1) && w_jmi_[j1].NumCols() == num_gaussSubspace GMM model properties: diag_ubm_.NumGauss() != 0 && diag_ubm_.NumGauss() == full_ubm_.NumGauss() && diag_ubm_.Dim() == data.Dim()config.diag_gmm_nbest > 0 && config.full_gmm_nbest > 0 && config.full_gmm_nbest < config.diag_gmm_nbestam-sgmm2.cc../matrix/kaldi-matrix.htot_like != 0.0j1 < NumGroups()../sgmm2/am-sgmm2.htgt_M >= cur_M../matrix/kaldi-vector.h!M_.empty() current dimension, < to , increasing to dimension () <= initial dimansion ()Warning: normalizer for j1 = , m = , i = is infinite or NaN = +, setting to finite.state_occs.Dim() == num_pdfspre-transformFloored Sum of counts is zero. Limited eigenvalues of H_smtotal count is (size_t)vecsz == v.size()[ ] Copying AmSgmm2Done.vars != NULLSet NaN in b_is to 1.0v_.size() != 0 and target is Split substates to total_weight > 0, renormalizing.Computing normalizers over Done computing normalizersphn_subspace_dim <= ddim + 1ddim <= norm_xform.NumRows()J1 > 0 && J2 >= J1; setting to spk_subspace_dim >= 0Initializing modelInitializing variancesnum_pdfs > 0 && feat_dim > 0Unexpected token '' in model file T >= 0AmSgmm2: #pdfs = , #pdf-groups = , #Gaussians = , feature dim = , phone-space dim =, speaker-space dim =diag_ubm_.Dim() == feat_dimfull_ubm_.Dim() == feat_dim../matrix/sp-matrix.hSubstates: . j2 < NumPdfs()M == NumSubstatesForGroup(j1)SubstateWeights: Normalizers: no. Normalizers: yes. Computed weights: no. Computed weights: yes. !pruned_pairs.empty()gselect != NULL&t&yt; &D   Kc.t@ ; 0 L~9ia6    bF+   a+?/<dL    /   1 # %-L+ddN,  + v>9/~o}9,{v/,3}=29}9,{v6,:}%Rh'Z5p$l)/5},  I C8f+BNm!)/.}E]\:w7 H   H{}MdId=:  0    & 1  )/}2H]      $yCA@cC   `    PfF`.t L  ~{y  E Z m   / 4 B5)/})/.}]\R &   '# & ###&&:$8 . ,J   ~ HHHO(Ww HL@0HSHHH@HHHHCXH9tHH@HH{8[SHHH@HHHHCXH9tHH@HH{8H[ATUSIHoHH9tHHH9uI<$Ht[]A\../base/io-funcs-inl.h vs. read it later, if needed., next char is ReadBasicType: encountered end of stream.ReadBasicType: did not get expected integer type, . You can change this code to successfullyRead failure in ReadBasicType, file position is ATUSHHHdH%(H$1@*Aăt<uoHH H\$A?H HHH{ H5Ht$H|$HH|$0HH\$ADH HHH{ H5AH|$0H|$0H5H|$0H|$0H5H|$0H5Ht$H|$HH|$0HHHH@D u#H$dH3%(Hİ[]A\Hl$AVH HHH} H5HH|$0HH|$0H5HH|$0Ht$H|$HH|$0H Write failure in WriteBasicType.SHHT$ dH%(H$1@tJHt$ HHH@D u?H$dH3%(H[Ët$ H5HH\$ A2H HHH{ H5Ht$ H|$HH|$@HAUATUSHHHdH%(H$1@D$ Ht$ HCH+HD$ HcH9u8Ht$ HD$ HHH3HH H5H=H5HLcI9t;HHI)IIL-3HLHHL9uݺH5HHEH@D u!H$dH3%(uhHĸ[]A\A]H\$AH HHH{ H5Ht$H|$ HH|$0HAVAUATUSHH9ILvL.LL)HHH?HCH)HH9rGHSH)HHH9IDI9H{HH+3I4$IT$H9tTH)JHt]H?H9wIHIM9tHLLM,,H;HtL#LkH+HkH[]A\A]A^AM9tHLLUAWAVAUATUSH(IH9IL~HMI)LHHHHHD$H/HGH)HHH9HGHD$HH)HHHHIH9D$HH~HHHHIMI\$H\$IMHL$HI+$IEIH9Ht4H H9w LHD$I9Hl$HD$HH\$H9 H;HtHILmLmHD$LHEHD$H0H@HH)HT$H9tLLl$LmHHI9tdHtH\$HCH+HD$HHEHEHEHt"H?H97H|$VANID$I$H9HSH)HH HHH!HD@H,EHHHD$HtHHHHH9tH;HtI<$HtHD$I$LID$M4$Mt$LH([]A\A]A^A_ILl$M~8HLHIIMHD$HHHHD@HlH9l$tHHHD$H)HH HHH!H@Hl HH9SH;HtHHD$H9H8HtHD$IL;L{LHkIuIEHH)H9t HLIL{IHL9l$HtImI+mHHHHCHCHt H?H9DHgA_HHAWAVAUATUSHIH9XILnHMI)LHH $H/HGH)HH9r{HGHD$HH)HHIH9$nH~,sHHHHHIMMl$IoLI+$IIH9LHt)HH9wLII9tIL%AHHHHI9tHtHEsHIl$I$H9tHHH9uI<$HtM<$MM|$M4$Mt$LH[]A\A]A^A_HLH9tHHHHMtLHHIL<$M~HsLHLHIIMH$HHHHHHH9l$1HHEHl$H)HHHHH9uLHIHL9HtHAwHHI9tLIHHAWAVAUATUSHIH9fILnHMI)LHHHHH$H/HGH)HHH9r^HGHD$HH)HHHHIH9$YHWMl$IoLI+$IH9MVHt)H H9wLHI9t0IIHI9tMtHLID$I$H9t@HSH)HH HHH!HD@L,HHL9uI<$HtI,$LIl$M4$Mt$LH[]A\A]A^A_HHI9tHHHHHtHHHIL<$M9fSALoHLHIIM~s A9u uCA9EuH$HHHHD@HlH9l$HHHD$H)HH HHH!H@HlHHH9uSAHoHHHHIMs 9u uC9EuHIH9fMtHLHM9tLIHHAWAVAUATUSHIH9_ILnHMI)LHH $H/HGH)HH9r{HGHD$HH)HHIH9$uH~,sHHHHHIMMl$IoLI+$IIH9LHt)HH9wLII9tPL%AHHHHI9t&HtHEEsHIl$I$H9tHHH9uI<$HtM<$MM|$M4$Mt$LH[]A\A]A^A_HLH9tHHHHMtLHHIL<$M~HsLHLHIIMH$HHHHHHH9l$1HHEHl$H)HHHHH9uLHIHL9HtHCAwHHI9tLIHHAWAVAUATUSHXdH%(HD$H1H(OHcHIHH9wL,LIHHHHtHHIHuHD$(fH8HtOHtAT$PAT$ P HHRHIT$HPIT$HPIT$ HP @(H@0HD$LHD$(t=LL)HHD$HD$HZHD$@HD$HD$8HD$ }AGAG ILHHRHL`HD$@HHt$H|$ H|$@HtHPIH8u{HT$8HHcH;\$HH)M$Al$D$AD$ HD$8kHH|$@HtHPLH9l$(tHEHPH8HMtLLL9tH8tHMtLHLL)HHH4HL$(L9tQIG8H)HHHm۶m۶ HHH!HHH)I,LHHPH8H9uMtLM9t:I>uLHL9t(H8tHH9iH;tHMtLHD$HdH3%(u|HX[]A\A]A^A_AAAHD$(MH$I$IH9HH)HHD$HLL)HLI,Wgauss < NumGauss() && out != NULL../gmm/full-gmm-inl.hout->Dim() == Dim()ATUSH@dH%(HD$81;w }ZHIHtMGH9BudHsHH$HsHHD$D$H|$>H H5H=H H5H=HcHHs(HH9kLv,CHkPHcHS@HHT$ D$(Ht$ H|$HHHuL;HSL9tL)LLMtLL3Jt-IHCKHCH[]A\A]A^A_H=I?kApHlHOHWH)HHHH9r=HH HHtHtHH@H@HvHHGAWAVAUATUSHHt$HHH+IIHLH L)H9wHHD$L9IMBMrEH I9w6Mt=I9w'KLAHH+HHHA9}%McLH0HI>qHHD$dH3%(u"H([]A\A]A^A_HHHcovars != NULL && means != NULLAWAVAUATUSHXdH%(HD$H1HIIIHGHD$D IcHL$HnHHH)HH9HL$H9s/HHHH$H9tHHHH9uH$IEAT$DLAt$HHD$ D$(H|$ H|$HD$0H$L|$ GH H5H=HH)LkHIt$(HI}HI}\$ \$A9\$Lv/AT$HAD$PHIL$@HHD$0T$8H4$L4H H5H=HH|$ HD$A;F s@AVD$ AFHIHHD$0T$8HIufLH<$H H5H=HH9\$t!HHHI}t$H|$ HD$HdH3%(uHX[]A\A]A^A_HHOHGH)HHHH9rBHH HHt#HtH@@ @HvHHGAWAVAUATUSH(Ht$HH+HIIHLH L)H9wSHD$L9IMBMrPH I9wAMtHI9w2K 0 && "Cannot compute N^{T} \\Sigma_{i}^{-1} without speaker projections."AWAVAUATUSHHdH%(HD$81HH;HIxHH+HHHHcIT$I<$HH)HHH9H9sVHvL,L9tDIEH)HH HHH!HDRMtLHHL9uMl$Hp H$HAHH9tPHp HD$ H|$ A/H >H5H=H)LhHH+HiIIO<ILHH|$ oLI<$HP HH9tpAHt$ LI<$fAoLpHH+HI9}LcLHHL@H|$ HHD$8dH3%(u1HH[]A\A]A^A_HH|$ HHHHHGHWH)HH988HH9AWAVAUATUSH(Ht$IH+HHHH988HHT$H88H)H9Ht$HD$H9ILCIH88I9MI9KH5H=H)LhHH+HiIIO<ILHH|$ oLI<$HP HH9tpAHt$ LI<$fAoLpHH+HI9}LcLHHL@H|$ HHD$8dH3%(u1HH[]A\A]A^A_HH|$ HHHHTHOHGH)HH9r3HH HHtHtH@HHHwAWAVAUATUSH(Ht$IH+HIIHL)H9wRHD$L9IMBMrOHI9w@MtGI9w1LHHD$H\$HH\$HT$2H=IHD$HHtHtH@M|$I,$I9t\H\$HHHHI9tHtHuHIl$I$H9tHHH9uI<$HtHD$I$Lt$IIMt$IIMl$H([]A\A]A^A_HHl$H9tHHHHH|$u'HD$HtHHHH\$HH\$L|$L9tLLHHD$AWAVAUATUSH(IdH%(HD$1HH+HHHHHcMfILH)HH9H9s%HL,2M9tLHHI9uMn0H$HHH+HiAIH TH5H=H)LHHKTmHH4fɺpLHI>LAHH+HHHA9}%McLH0HI>qHHD$dH3%(u"H([]A\A]A^A_HHHAWAVAUATUSHHHIIHHGH)HHtQL4L9HI9HH)HD$MtHI9v#A&MhHH)HD$AJ<IHD$LtIHH}H9tLHHtHH HHI9uHWH)HMlIHuH9t.HLHtHH HHH9uHH)HMlHtLeLmKHEH[]A\A]A^A_HH)HD$I+HGH;GtHtHHHGHHHHIH9LGI9IHH)HHqHHHHB.w.w;r|p:pLL)HHH~H@HH HHA AqIL9t,LAA.w.w AqA9p|pLqbasic_string::_M_construct null not validATUSHHIdH%(HD$1H9tHtHHL)H$HwDH}HtXHu\H$HEHUHD$dH3%(uIH[]A\H=HHHEH$HEA$HL.w^.wB9F|Q..w A9F.w.A9BGQWA.w8.wA9B|+.w?.wA9F|2GVWF GJOBGQWAGVWF GJOBHJHH?HHIH9IIHH L. H) B IL9|uHHH?HHH9tPHHHH?HHHH9~V .vC HAHH?HHH9}+ H.vHHTL HBHHHHgAWAVAUATUSHHIHnMl$LH)HD$H~DHIHII?LHIBHjLLHHMtII9sELt$I IL9v1AE .vAMHjLHHA $ A$H[]A\A]A^A_ HN CU.w.w  CEHH .wHGG.v H.wH9v HI9HBHCIHH)H ~aHzHHHH?HHHHSK.2U.. 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f(LEfAu(Dfu1HH9t3Ht$pH$HT$0LHHT$PLHHDŽ$HDŽ$HDŽ$HD$ D$(AuA~tH$LfT$ Au3fEt|AF .HL$HT$0MHL3HL$pH$MHLXfZd$ fZL$ XfZ|$ AfADf AĀ]A~HL$L$LHLkHL$HT$0MHLfZL$ XfZl$ hHL$HT$pMHLfZL$ XfZt$ 9HL$HT$PMHLfZL$ XfZd$ LHLfZL$ XfZt$ HT$LHLfZL$ XfZd$ AĀu#A~HT$LHLHT$LHLfZL$ XfZt$ fujH$AH HH$8H5fZD$ H$H$H$H} AH HHH$H5^H$H$H5H$H$H5H$H$IIH9tDHUH)HH HHH!HD@LdHHHI9uIIIH9tDHUH)HH HHH!HD@LdHHHL9uIH|$ H$H$H9tHHH9uH$HtH|$HD$xH\$pH9t@HSH)HH HHH!HD@H,HHH9uH|$pHtHl$XH\$PH9tHHH9uH|$PHtHl$8H\$0H9tHHH9uH|$0HtH$HdH3%(HX[]A\A]A^A_HH$H|$ H$H|$H|$pH|$PH|$0HHH$HHHHH=HH5H=Hkaldi::KaldiFatalErrorHHHHHHHHHHHH@HHSHHH@HH[HHH@HHG8XG@HSHHH@HHG8XG@H[ATUSHHH@HHo@H0oHLcXH{8oLHCpXCxLHH[]A\HHH@HHSHHH@HH[HHH@HHSHHH@HH[ATUSHHH@HHo@H0oHLcXH{8oLHCpXCxLHHH[]A\USH8HdH%(HD$(1HHHHs(HHHH@HEH<$HD$H9tHH5HHH<$HD$H9tHHH5@}x+j1 < NumGroups()../sgmm2/am-sgmm2.hprune_thresh >= 0.0../base/kaldi-math.h../matrix/kaldi-matrix.hspk_space_dim_ > 0estimate-am-sgmm2.ccd_jms > 0!model.w_jmi_.empty()accs.R_.size() != 0Renormalizing N, eigs are: ../matrix/sp-matrix.h1.0 / Sigma_i_ml(0, 0) != 0.0up eigenvalues.For Gaussian component : Too low count diagonal: Floored covariance eigenvalues. over frames for i = frames, numerical problemj2 < NumPdfs()**Overall objf impr for c is , over frames.spk_space_dim != 0nonzero. zero. Sgmm2PdfModel: J1 = , J2 = , D = , S = , T = , I = Y: no. gamma_.size() != 0Y: yes, R_.size() == 0Z, R: no. Z: yes, R: yes, gamma_s: yes, S: no. S: yes, y: no. y: yes, a: no. a: yes. a: yes, gamma: no. gamma: yes. gamma: yes, gamma_c_ not set up.gamma_c_.size() == num_pdfs_gamma_c: yes, vs. t: no. !U_.empty()t: yes, U: no. U_.size() == num_gaussians_t_.NumRows() != 0 R_.size() != 0gamma_i.Sum() > 0.0 -- maybe first iter?Scatter of vectors v is : SigmaRenormalized subspace.num_substates > 0model.SpkSpaceDim() != 0Unexpected token '' in model file Before iteration col_covrow_covUpdating phone vectors**Overall auxf impr for v is y_s_.Dim() != 0, auxfs are -> Backtracked v_s per frame, over Updating weight projections[unknown]wpredicted_impr >= -1.0e-05, i = is per frame over For iteration , updating w gives , actual not increase**Overall objf impr for w is For component : not updating M due to very small count (=).M, is M is Computing the prior first < not updating.N because count is too small **Overall objf impr for N is and m = because auxf changed by [vs. predicted:] v times [not updating]Auxf impr for j = m = uCount is small for gaussian , not updating u_i., impr/frame is **Overall objf impr for u is static_cast(i) < static_cast(num_rows_)j1 < NumGroups() && m < NumSubstatesForGroup(j1) && i < NumGauss()mean_out->Dim() == FeatureDim()Not renormalizing N, since there are no counts.S_means.size() == static_cast(accs.num_gaussians_)static_cast(r) < static_cast(this->num_rows_)Updating variances: zero counts. Setting floor to unit.Covariance flooring matrix is poorly conditioned. Fixed Assuming you want to build a diagonal system since cov_diag_ratio is large: making diagonal covFloor. for covariance matrix estimation. Setting to objf impr from variance update =**Overall objf impr for variance update = Updating within-class covariance matrix i = Updating substate mixture weightsZero or negative weight, flooringIn destructor of MleAmSgmm2Accs: detected that you forgot to call CommitStatsForSpk()num_pdfs_ == model.NumPdfs() && num_pdfs_ > 0num_groups_ == model.NumGroups() && num_groups_ > 0num_gaussians_ == model.NumGauss() && num_gaussians_ > 0feature_dim_ == model.FeatureDim() && feature_dim_ > 0phn_space_dim_ == model.PhoneSpaceDim() && phn_space_dim_ > 0spk_space_dim_ == model.SpkSpaceDim()Y_.size() == static_cast(num_gaussians_)Y_[i].NumRows() == feature_dim_ && Y_[i].NumCols() == phn_space_dim_gamma_s_.Dim() == num_gaussians_Z_.size() == static_cast(num_gaussians_)R_.size() == static_cast(num_gaussians_)Z_[i].NumRows() == feature_dim_ && Z_[i].NumCols() == spk_space_dim_R_[i].NumRows() == spk_space_dim_S_.size() == static_cast(num_gaussians_)S_[i].NumRows() == feature_dim_y_.size() == static_cast(num_groups_)y_[j1].NumRows() == model.NumSubstatesForGroup(j1)y_[j1].NumCols() == phn_space_dim_a_.size() == static_cast(num_groups_)a_[j1].NumRows() == model.NumSubstatesForGroup(j1) && a_[j1].NumCols() == num_gaussians_gamma_.size() == static_cast(num_groups_)gamma_[j1].NumRows() == model.NumSubstatesForGroup(j1) && gamma_[j1].NumCols() == num_gaussians_gamma_c_.size() == num_pdfs_ && "gamma_ set up but not gamma_c_."gamma_c_[j2].Dim() == model.NumSubstatesForPdf(j2)Counts from gamma and gamma_c differ t_.NumRows() == num_gaussians_ && t_.NumCols() == spk_space_dim_U_[i].NumRows() == spk_space_dim_Subspace GMM model properties: Not renormalizing v because scatter is not positive definiteNote on the next diagnostic: the first number is generally not that meaningful as it relates to the static offsetH_sm_proj (Significance of dims in vector space.. note)accs.a_.size() == accs.num_groups_Inconsistency between a and gamma stats. [BAD!] sub-states with zero "a" (and presumably gamma) stats.1.0 / (*S_means)[i](0, 0) != 0.0Cannot set up accumulators for speaker projections because speaker subspace has not been set upmodel.HasSpeakerDependentWeights() && "remove the flag \"u\" if you don't have u set up."options_.map_M_prior_iters > 0 of updating prior over M, log like per dimension modeled is Computing column covariances for M: limited singular values, max condition is Computing row covariances for M: limited Backtracking in speaker vector update, on iter times in speaker-vector update.*Objf impr for speaker vector is Predicted objf impr for w, iter = predicted per-frame like impr Not updating weights as not increasing auxf and probably due to numerical issues (since small change).Halving step size for weights as likelihood did Objf impr for projection M for i = Overall objective function improvement for model projections Prior smoothing parameter: Tau = Updating speaker vectors, count is Speaker subspace dim is zero or no stats accumulatedNot updating speaker basis for i = Objf impr for spk projection N for i = Backtracking computation of v_jm for j = Updating speaker weight projections u, for Gaussian index frames, scaling back to not exceed Objf impr for spk weight-projection u for i = *Overall auxf improvement, combining all parameters, is ***Overall data likelihood is ;` &     c4G`+<   T:HE+)84kp  I  &    gWM$N}{':Rg h   w  "4|  &   c4 0   00,1,1112#2$$%%'2((L3*+3,.3//4/304,8888 2             O%-L+ddN=`x(|I&+$02$ 2  + & 2  N Q C& CX0 =`x(|)/}(P   % )/.}\.)/5}*??9"%h )/};!   0 ` kQ0+[7Q0'v[pWjJA9y LGB1   5 .fun $&&O&(&&%  %& )%z&/)&&)& !&"&"&%R  9# ;w         E.>@*u:ZQn;  / @ z t$!     :AG!/:!72! 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5.LC266.LC267.LC0.LC129.LC130.LC131.LC154.LC155.LC156.LC157.LC158.LC159.LC171.LC196_ZN5kaldi15KaldiFatalErrorD5Ev_ZN5kaldi23UpdatePhoneVectorsClassD5Ev_ZN5kaldi12UpdateWClassD5Ev_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi23UpdatePhoneVectorsClassEEEEEEED5Ev_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEED5Ev_ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED5Ev_ZNSt6vectorIN5kaldi6MatrixIdEESaIS2_EED5Ev_ZNSt6vectorIN5kaldi8SpMatrixIdEESaIS2_EED5Ev_ZNSt6vectorISt6threadSaIS0_EED5Ev_ZNK5kaldi15KaldiFatalError4whatEv_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEE6_M_runEv_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi23UpdatePhoneVectorsClassEEEEEEE6_M_runEv_ZN5kaldi15KaldiFatalErrorD2Ev_GLOBAL_OFFSET_TABLE__ZTVN5kaldi15KaldiFatalErrorE_ZNSt13runtime_errorD2Ev_ZN5kaldi15KaldiFatalErrorD1Ev_ZN5kaldi15KaldiFatalErrorD0Ev_ZdlPv_ZN5kaldi23UpdatePhoneVectorsClassD2Ev_ZTVN5kaldi23UpdatePhoneVectorsClassE_ZN5kaldi15MultiThreadableD2Ev_ZN5kaldi23UpdatePhoneVectorsClassD1Ev_ZN5kaldi23UpdatePhoneVectorsClassD0Ev_ZN5kaldi12UpdateWClassD2EvDW.ref.__gxx_personality_v0_ZTVN5kaldi12UpdateWClassE_ZN5kaldi10MatrixBaseIdE6AddMatEdRKS1_NS_19MatrixTransposeTypeE_ZN5kaldi6MatrixIdE7DestroyEv_ZN5kaldi12UpdateWClassD1Ev_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi23UpdatePhoneVectorsClassEEEEEEED2Ev_ZTVNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi23UpdatePhoneVectorsClassEEEEEEEE_ZNSt6thread6_StateD2Ev_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi23UpdatePhoneVectorsClassEEEEEEED1Ev_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi23UpdatePhoneVectorsClassEEEEEEED0Ev_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEED2Ev_ZTVNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEEE_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEED1Ev_ZNSt6thread11_State_implINS_8_InvokerISt5tupleIJSt17reference_wrapperIN5kaldi12UpdateWClassEEEEEEED0Ev_ZN5kaldi12UpdateWClassD0Ev_ZN5kaldi13MessageLogger11LogAndThrowaSERKS0__ZNK5kaldi13MessageLogger10LogMessageEv__cxa_allocate_exception_ZNKSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEE3strEv_ZNSt13runtime_errorC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE_ZTIN5kaldi15KaldiFatalErrorE__cxa_throw__cxa_free_exception_Unwind_Resume_ZN5kaldi14MleAmSgmm2Accs24AccumulateFromPosteriorsERKNS_7AmSgmm2ERKNS_24Sgmm2PerFrameDerivedVarsERKNS_6MatrixIfEEiPNS_22Sgmm2PerSpkDerivedVarsE_ZN5kaldi6VectorIfE6ResizeEiNS_16MatrixResizeTypeE_ZNK5kaldi7AmSgmm29Pdf2GroupEi_ZN5kaldi19KaldiAssertFailure_EPKcS1_iS1__ZN5kaldi10VectorBaseIdE6AddVecIfEEvdRKNS0_IT_EE_ZN5kaldi10MatrixBaseIdE9AddVecVecIfEEvdRKNS_10VectorBaseIT_EES7__ZN5kaldi10VectorBaseIfE9AddMatVecEfRKNS_10MatrixBaseIfEENS_19MatrixTransposeTypeERKS1_f_ZN5kaldi6VectorIfE7DestroyEv_ZN5kaldi10VectorBaseIfE11CopyFromVecERKS1__ZN5kaldi10VectorBaseIfE6AddVecIfEEvfRKNS0_IT_EE_ZN5kaldi4RandEPNS_11RandomStateE_ZNK5kaldi7AmSgmm27GetDjmsEiiPNS_22Sgmm2PerSpkDerivedVarsE_ZN5kaldi8SpMatrixIdE7AddVec2IfEEvdRKNS_10VectorBaseIT_EE__stack_chk_fail_ZN5kaldi14MleAmSgmm2Accs10AccumulateERKNS_7AmSgmm2ERKNS_24Sgmm2PerFrameDerivedVarsEifPNS_22Sgmm2PerSpkDerivedVarsE_ZNK5kaldi7AmSgmm219ComponentPosteriorsERKNS_24Sgmm2PerFrameDerivedVarsEiPNS_22Sgmm2PerSpkDerivedVarsEPNS_6MatrixIfEE_ZN5kaldi10MatrixBaseIfE5ScaleEf_ZN5kaldi6MatrixIfE7DestroyEv_ZN5kaldi14MleAmSgmm2Accs17CommitStatsForSpkERKNS_7AmSgmm2ERKNS_22Sgmm2PerSpkDerivedVarsE_ZN5kaldi10VectorBaseIfE11CopyFromVecIdEEvRKNS0_IT_EE_ZNK5kaldi10VectorBaseIfE6IsZeroEf_ZN5kaldi6VectorIdE7DestroyEv_ZN5kaldi6VectorIdE6ResizeEiNS_16MatrixResizeTypeE_ZN5kaldi10VectorBaseIdE11CopyFromVecIfEEvRKNS0_IT_EE_ZN5kaldi8SpMatrixIdE7AddVec2IdEEvdRKNS_10VectorBaseIT_EE_ZN5kaldi10VectorBaseIfE9AddVecVecEfRKS1_S3_f_ZN5kaldi10VectorBaseIdE7SetZeroEv_ZNK5kaldi14MleAmSgmm2Accs19GetStateOccupanciesEPNS_6VectorIfEE_ZNK5kaldi10VectorBaseIdE3SumEv_ZN5kaldi17MleAmSgmm2Updater15UpdateWGetStatsERKNS_14MleAmSgmm2AccsERKNS_7AmSgmm2ERKNS_6MatrixIdEERKSt6vectorIS8_SaIS8_EEPS8_SG_Pdii_ZN5kaldi12PackedMatrixIdE6ResizeEiNS_16MatrixResizeTypeE_ZN5kaldi6MatrixIdE6ResizeEiiNS_16MatrixResizeTypeENS_16MatrixStrideTypeE_ZN5kaldi6MatrixIdEC1IfEERKNS_10MatrixBaseIT_EENS_19MatrixTransposeTypeE_ZN5kaldi10MatrixBaseIdE9AddMatMatEdRKS1_NS_19MatrixTransposeTypeES3_S4_d_ZN5kaldi12PackedMatrixIdE7DestroyEv_ZNK5kaldi10VectorBaseIdE9LogSumExpEd_ZN5kaldi10VectorBaseIdE3AddEd_ZN5kaldi6VecVecIdEET_RKNS_10VectorBaseIS1_EES5__ZN5kaldi10VectorBaseIdE8ApplyExpEv_ZN5kaldi12PackedMatrixIdE7SetZeroEv_ZN5kaldi10VectorBaseIdE14CopyFromPackedIdEEvRKNS_12PackedMatrixIT_EE_ZN5kaldi12UpdateWClassclEv_ZN5kaldi17MleAmSgmm2Updater12RenormalizeNERKNS_14MleAmSgmm2AccsERKN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auxiliary function improvement for model projections Num and den frame counts differ, ***Averaged differenced likelihood per frame is ***Note: for this to be at all meaningful, if you use "canceled" stats you will have to renormalize this over num_accs.total_frames_ > 0 && den_accs.total_frames_ > 0../matrix/kaldi-matrix.hestimate-am-sgmm2-ebw.ccj2 < NumPdfs()../sgmm2/am-sgmm2.h is per frame over frames (den count is )**Overall auxf impr for c is over framesS_means.size() == Ioptions_.lrate_Sigma <= 1.0 frames (den count was ), #floor,ceil was , Updating Sigma: objf-impr is Updating phone vectors. because count is zero. 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Log-determinant = stats_.beta_ < mincount < Cannot estimate FMLLR: mean scatter has 0 eigenvalues.stats_.G_.size() == static_cast(num_gauss)Not committing any stats since no stats accumulated.Frame counts for when committing fMLLR subspace stats are static_cast(origin)+ static_cast(length) <= static_cast(t.Dim())num_fmllr_bases > 0 && feat_dim > 0Limiting number of fMLLR bases to be the same as transform Eigenvalues (max 200) of CMLLR scatter are: Not estimating FMLLR bases because of a thrown exception: out_xform->NumRows() == dim_ && out_xform->NumCols() == dim_+1Must set up pre-transforms before estimating FMLLR.globals.fmllr_bases_.size() != 0: Auxiliary function improvement: Objective function decreased (Auxiliary function improvement for FMLLR = Not updating FMLLR because count is ../base/io-funcs-inl.hWrite failure in WriteBasicType.SHHT$ dH%(H$1@tJHt$ HHH@D u?H$dH3%(H[Ët$ H5HH\$ A2H HHH{ H5Ht$ H|$HH|$@Hj1 < NumGroups() && m < NumSubstatesForGroup(j1) && i < NumGauss()mean_out->Dim() == FeatureDim()static_cast(i) < static_cast(num_rows_)../sgmm2/am-sgmm2.h../matrix/kaldi-matrix.hAWAVAUATUSHXHAAMMdH%(HD$H1AqH$D$HAvHD$D$H|$HE H+EHi9~dHcH[HHXD;d }KHHH)HiD9~+t$;r uIHD$ D$(H|$ FH H5H=HH H5H=HXD9c vOCDcMcHJHT$0D$8IcHL$0H[HH4H|$ fɺoFH H5H=HH|$ H|$HHHt$ HH|$ Au)HHHHH|$fYE9ov4AGEo McIWJHT$0D$8Ht$0HH H5H=Ht$LH|$HHD$HdH3%(uHX[]A\A]A^A_H SHHT$ dH%(H$1@tJHt$ HHH@D u?H$dH3%(H[Ët$ H5HH\$ A2H HHH{ H5Ht$ H|$HH|$@HReadBasicType: encountered end of stream.ReadBasicType: did not get expected integer type, . 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