Linear_2.hxx

//Code generated automatically by TMVA for Inference of Model file [Linear_2.onnx] at [Sun May 16 14:39:25 2021] 
#include<algorithm>
#include<vector>
#include <Eigen/Dense>
namespace TMVA_SOFIE_Linear_2{
namespace BLAS{
	extern "C" void sgemm_(const char * transa, const char * transb, const int * m, const int * n, const int * k,
	                       const float * alpha, const float * A, const int * lda, const float * B, const int * ldb,
	                       const float * beta, float * C, const int * ldc);
}//BLAS
float tensor_6bias[100] = {0.085758023, -0.0393305793, -0.0542521365, 0.0581683256, -0.0724520683, 0.139249027, 0.0429161601, 0.0344710946, 0.0829698741, 0.0802473426, -0.110057697, -0.136492819, -0.0502683595, 0.137501344, -0.00793476962, 0.141223401, -0.0523607209, 0.0225115716, -0.00138132949, -0.112019517, -0.119251914, 0.0175068676, 0.0145989023, 0.0598920174, -0.012846224, -0.131464913, 0.0971726105, -0.0580764785, 0.0466652848, 0.131459162, -0.00159128418, 0.162124828, -0.0366614349, -0.129034609, 0.0667673722, 0.0250717103, -0.0272157751, 0.124720879, -0.00724649942, 0.00874079298, -0.108622089, 0.169001698, 0.131784663, 0.00505799055, -0.056540899, 0.0127848387, 0.102155611, 0.138907194, -0.0429354012, 0.120308727, 0.085758023, -0.0393305793, -0.0542521365, 0.0581683256, -0.0724520683, 0.139249027, 0.0429161601, 0.0344710946, 0.0829698741, 0.0802473426, -0.110057697, -0.136492819, -0.0502683595, 0.137501344, -0.00793476962, 0.141223401, -0.0523607209, 0.0225115716, -0.00138132949, -0.112019517, -0.119251914, 0.0175068676, 0.0145989023, 0.0598920174, -0.012846224, -0.131464913, 0.0971726105, -0.0580764785, 0.0466652848, 0.131459162, -0.00159128418, 0.162124828, -0.0366614349, -0.129034609, 0.0667673722, 0.0250717103, -0.0272157751, 0.124720879, -0.00724649942, 0.00874079298, -0.108622089, 0.169001698, 0.131784663, 0.00505799055, -0.056540899, 0.0127848387, 0.102155611, 0.138907194, -0.0429354012, 0.120308727};
float tensor_4weight[2500] = {0.0188930798, 0.0280860905, -0.0849537551, -0.0161695033, -0.103505358, 0.0881181583, 0.129986599, 0.140078858, -0.0688057691, -0.067336522, -0.00429455936, -0.0110214632, 0.0199752562, 0.107392684, -0.014542995, 0.119166002, -0.0212708134, 0.12338642, 0.0988684148, -0.0503337383, 0.0840678662, 0.115525842, -0.0318521224, -0.00298756338, -0.0463612974, -0.108049557, -0.122213714, -0.0441361479, 0.0780758262, -0.0213444773, -0.0145623256, -0.0217572805, -0.144358665, -0.0507129282, -0.100521423, 0.0302389376, 0.0400319248, 0.0387933403, 0.00914644822, 0.0120025603, -0.0523430333, 0.0774174035, -0.0662956312, 0.126988262, 0.00700229872, 0.0871108323, -0.116521135, -0.0602888465, -0.0590003803, -0.149315014, -0.0483215302, -0.0696579069, -0.082400158, 0.0469890982, -0.0250536744, 0.107796401, 0.049939096, 0.0914425999, 0.113452755, 0.13400878, 0.127994254, -0.0299717914, 0.0258046091, -0.0395754054, 0.0853119195, 0.133787379, -0.0327289812, -0.12995854, 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float tensor_4bias[100] = {-0.00141191226, -0.0429529771, 0.058277227, 0.0104854982, -0.0969846696, 0.0500554256, 0.0519913472, -0.0902866796, 0.0101989703, -0.0820591822, 0.0634800643, -0.118698344, 0.121519759, 0.0649119839, -0.0156117035, -0.0296464674, 0.0867756382, -0.0239614155, 0.0711028874, -0.0709773898, -0.0779196471, -0.129262984, -0.109252475, 0.0307213068, 0.100138888, 0.0730840191, 0.0153070418, 0.107452311, 0.0615117997, -0.110454962, 0.0205152165, 0.0247617941, 0.130161226, 0.00209317938, 0.0425058529, -0.100703813, 0.043634735, 0.118652806, 0.164149627, -0.0301531442, -0.103076562, 0.118463524, -0.126608193, -0.113397717, -0.0946076736, 0.0784257427, -0.0885599107, -0.0120017678, -0.0954485536, 0.104384519, -0.00141191226, -0.0429529771, 0.058277227, 0.0104854982, -0.0969846696, 0.0500554256, 0.0519913472, -0.0902866796, 0.0101989703, -0.0820591822, 0.0634800643, -0.118698344, 0.121519759, 0.0649119839, -0.0156117035, -0.0296464674, 0.0867756382, -0.0239614155, 0.0711028874, -0.0709773898, -0.0779196471, -0.129262984, -0.109252475, 0.0307213068, 0.100138888, 0.0730840191, 0.0153070418, 0.107452311, 0.0615117997, -0.110454962, 0.0205152165, 0.0247617941, 0.130161226, 0.00209317938, 0.0425058529, -0.100703813, 0.043634735, 0.118652806, 0.164149627, -0.0301531442, -0.103076562, 0.118463524, -0.126608193, -0.113397717, -0.0946076736, 0.0784257427, -0.0885599107, -0.0120017678, -0.0954485536, 0.104384519};
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float tensor_18bias[20] = {0.122912996, -0.0896688178, 0.00507797301, 0.107243106, 0.166710705, 0.101741388, 0.0451729894, -0.13303405, 0.0296671893, 0.153216198, 0.122912996, -0.0896688178, 0.00507797301, 0.107243106, 0.166710705, 0.101741388, 0.0451729894, -0.13303405, 0.0296671893, 0.153216198};
float tensor_16bias[100] = {-0.0916089565, 0.153658688, -0.109769888, -0.135835335, -0.090655461, 0.13053745, -0.0774723142, -0.087656565, 0.0458026379, 0.0693733767, -0.0982683823, -0.0780465901, 0.0194515362, 0.023617724, -0.121612385, -0.0815184712, -0.0359521732, -0.0103011085, 0.0241159853, -0.0427414402, 0.12184564, -0.0894265398, -0.100428514, 0.107956119, 0.115737803, 0.110240161, -0.165125027, 0.0549423844, -0.0858236924, 0.0629362091, -0.111754507, -0.0726784021, 0.0251000375, 0.0562750064, 0.081796661, 0.120809689, -0.0427193269, -0.0923981071, -0.0390992761, 0.0428260379, -0.0494222715, -0.104630634, 0.129559413, -0.0144463833, -0.104705274, 0.00559547171, -0.126767859, 0.106374398, 0.0548568927, 0.063470833, -0.0916089565, 0.153658688, -0.109769888, -0.135835335, -0.090655461, 0.13053745, -0.0774723142, -0.087656565, 0.0458026379, 0.0693733767, -0.0982683823, -0.0780465901, 0.0194515362, 0.023617724, -0.121612385, -0.0815184712, -0.0359521732, -0.0103011085, 0.0241159853, -0.0427414402, 0.12184564, -0.0894265398, -0.100428514, 0.107956119, 0.115737803, 0.110240161, -0.165125027, 0.0549423844, -0.0858236924, 0.0629362091, -0.111754507, -0.0726784021, 0.0251000375, 0.0562750064, 0.081796661, 0.120809689, -0.0427193269, -0.0923981071, -0.0390992761, 0.0428260379, -0.0494222715, -0.104630634, 0.129559413, -0.0144463833, -0.104705274, 0.00559547171, -0.126767859, 0.106374398, 0.0548568927, 0.063470833};
float tensor_8bias[100] = {0.132672936, -0.0919130445, 0.128974482, 0.146550581, 0.0228485316, 0.156072676, -0.0085352473, -0.128478974, 0.0147671001, -0.101178028, -0.0721716806, -0.0632476732, 0.104157969, 0.152963623, 0.0902561247, -0.0662412643, 0.039299503, -0.0196427386, -0.00713589415, 0.0204249769, -0.0112291723, 0.014572382, -0.054577902, -0.102856107, -0.0270474777, -0.0524328575, -0.112653859, 0.00965900719, -0.082367748, 0.0626717135, 0.130862847, 0.113250233, -0.0294098854, 0.166581348, 0.0905423984, 0.0101793744, -0.023502171, 0.153879508, 0.152460098, -0.0198673308, -0.124291159, 0.0104047759, -0.0110064298, -0.134389147, -0.0992828384, 0.165398777, 0.141021982, 0.118444487, 0.0356821157, 0.00982786715, 0.132672936, -0.0919130445, 0.128974482, 0.146550581, 0.0228485316, 0.156072676, -0.0085352473, -0.128478974, 0.0147671001, -0.101178028, -0.0721716806, -0.0632476732, 0.104157969, 0.152963623, 0.0902561247, -0.0662412643, 0.039299503, -0.0196427386, -0.00713589415, 0.0204249769, -0.0112291723, 0.014572382, -0.054577902, -0.102856107, -0.0270474777, -0.0524328575, -0.112653859, 0.00965900719, -0.082367748, 0.0626717135, 0.130862847, 0.113250233, -0.0294098854, 0.166581348, 0.0905423984, 0.0101793744, -0.023502171, 0.153879508, 0.152460098, -0.0198673308, -0.124291159, 0.0104047759, -0.0110064298, -0.134389147, -0.0992828384, 0.165398777, 0.141021982, 0.118444487, 0.0356821157, 0.00982786715};
float tensor_6weight[2500] = {-0.0604659691, 0.0370542146, -0.0854997337, -0.127819628, -0.0981303304, -0.0715383738, 0.0157342851, -0.0343228057, 0.0561791547, 0.110099569, -0.0797214359, 0.000875562429, -0.129966408, 0.153757021, 0.1496723, 0.0340594612, -0.0589533336, -0.0590930581, 0.133439347, 0.0896621495, 0.108050808, 0.0735264271, -0.00948503613, -0.0605329424, 0.0249102581, 0.112105221, 0.0955630392, -0.0760980025, -0.0448147655, 0.00210152566, 0.106564276, -0.10187415, 0.00589365326, 0.0394498333, -0.0487493947, 0.0690704584, -0.0288577285, 0.162536561, 0.116856009, 0.0142089408, 0.00969716907, -0.00384076638, -0.132320315, -0.0275915191, 0.143455282, 0.154578596, -0.122085333, 0.0959821343, 0.0975790918, 0.130544126, 0.124307826, -0.0215327889, -0.104003206, -0.0818558931, 0.0741870999, -0.133588448, 0.132233843, 0.076685667, 0.0159270763, 0.100911871, -0.102130316, -0.105045483, -0.140489072, -0.0667162389, -0.0431861579, -0.126220375, 0.0286097229, 0.0264096707, 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float tensor_0bias[100] = {0.0445989147, -0.0395647995, 0.0153063443, 0.0679012462, -0.00585662341, 0.0785567909, -0.00196363032, 0.0608743653, 0.082100898, 0.00657809339, -0.0273906738, -0.0771812126, -0.023175573, -0.103569232, 0.00928055402, 0.0313930102, 0.0208464563, -0.0152010517, 0.0353502594, -0.0534121282, 0.0397461951, 0.0958480835, 0.046004571, -0.015010736, 0.0814947113, -0.0520330295, 0.0461161658, 0.0782083347, -0.0757674575, -0.0564194098, 0.0348057151, 0.0634275749, 0.109244496, -0.000563845038, -0.079884693, -0.0160897858, 0.091756545, 0.0806161687, -0.00231280178, -0.0348773263, 0.0947287157, -0.0260374993, -0.0623672381, -0.0357570723, 0.0800382942, 0.0883707628, -0.0659596026, 0.0226034522, -0.00685036136, 0.0324629359, 0.0445989147, -0.0395647995, 0.0153063443, 0.0679012462, -0.00585662341, 0.0785567909, -0.00196363032, 0.0608743653, 0.082100898, 0.00657809339, -0.0273906738, -0.0771812126, -0.023175573, -0.103569232, 0.00928055402, 0.0313930102, 0.0208464563, -0.0152010517, 0.0353502594, -0.0534121282, 0.0397461951, 0.0958480835, 0.046004571, -0.015010736, 0.0814947113, -0.0520330295, 0.0461161658, 0.0782083347, -0.0757674575, -0.0564194098, 0.0348057151, 0.0634275749, 0.109244496, -0.000563845038, -0.079884693, -0.0160897858, 0.091756545, 0.0806161687, -0.00231280178, -0.0348773263, 0.0947287157, -0.0260374993, -0.0623672381, -0.0357570723, 0.0800382942, 0.0883707628, -0.0659596026, 0.0226034522, -0.00685036136, 0.0324629359};
float tensor_12bias[100] = {-0.137727261, -0.0988745838, 0.0305281579, 0.0621553026, -0.0255659893, -0.0460577719, -0.0466571376, 0.0781318545, 0.115239061, 0.0971820652, -0.0322865099, 0.0775346011, -0.0724255145, 0.0232325774, 0.0475013331, -0.148748189, -0.0867816135, -0.0639282838, -0.104376502, 0.0481961668, 0.114161156, 0.114903532, 0.048297897, 0.076862298, -0.127359986, 0.0204747021, 0.0172174647, -0.047698386, 0.121222377, -0.152504012, -0.0664678589, -0.121411249, 0.00580859371, 0.12243104, 0.163499713, 0.0151651232, -0.0902137607, 0.0860357508, -0.117670342, 0.0310074165, -0.0293387044, 0.0208172034, -0.00681474805, -0.0402887166, -0.118284866, -0.0449200049, 0.0979306772, -0.0915055871, -0.0396793671, -0.0905092657, -0.137727261, -0.0988745838, 0.0305281579, 0.0621553026, -0.0255659893, -0.0460577719, -0.0466571376, 0.0781318545, 0.115239061, 0.0971820652, -0.0322865099, 0.0775346011, -0.0724255145, 0.0232325774, 0.0475013331, -0.148748189, -0.0867816135, -0.0639282838, -0.104376502, 0.0481961668, 0.114161156, 0.114903532, 0.048297897, 0.076862298, -0.127359986, 0.0204747021, 0.0172174647, -0.047698386, 0.121222377, -0.152504012, -0.0664678589, -0.121411249, 0.00580859371, 0.12243104, 0.163499713, 0.0151651232, -0.0902137607, 0.0860357508, -0.117670342, 0.0310074165, -0.0293387044, 0.0208172034, -0.00681474805, -0.0402887166, -0.118284866, -0.0449200049, 0.0979306772, -0.0915055871, -0.0396793671, -0.0905092657};
float tensor_10bias[100] = {0.112825371, -0.119963981, -0.118349992, -0.0558022931, -0.0625505596, 0.0471806452, -0.0884031206, 0.0960456282, 0.116702221, -0.109757096, -0.03488864, 0.113490313, -0.020829834, 0.0787604079, -0.0317772031, 0.105816707, 0.0822821781, -0.0866799057, 0.144993931, 0.00323728332, -0.0109761357, -0.00638698041, 0.0665968582, 0.161787093, -0.13858147, -0.126124918, -0.0551978461, 0.0284759253, 0.00291799335, 0.0940495506, -0.0457545668, 0.0741585046, -0.12875089, -0.0558699481, -0.0877698883, -0.0054332884, 0.078710936, -0.0948781073, 0.0657915846, -0.0360444151, -0.100634828, 0.0476663709, 0.142626688, 0.0282325819, 0.17206271, -0.0961365327, 0.0377740972, 0.100128405, -0.0557549372, 0.0644229129, 0.112825371, -0.119963981, -0.118349992, -0.0558022931, -0.0625505596, 0.0471806452, -0.0884031206, 0.0960456282, 0.116702221, -0.109757096, -0.03488864, 0.113490313, -0.020829834, 0.0787604079, -0.0317772031, 0.105816707, 0.0822821781, -0.0866799057, 0.144993931, 0.00323728332, -0.0109761357, -0.00638698041, 0.0665968582, 0.161787093, -0.13858147, -0.126124918, -0.0551978461, 0.0284759253, 0.00291799335, 0.0940495506, -0.0457545668, 0.0741585046, -0.12875089, -0.0558699481, -0.0877698883, -0.0054332884, 0.078710936, -0.0948781073, 0.0657915846, -0.0360444151, -0.100634828, 0.0476663709, 0.142626688, 0.0282325819, 0.17206271, -0.0961365327, 0.0377740972, 0.100128405, -0.0557549372, 0.0644229129};
float tensor_0weight[5000] = {0.0203951709, 0.0268583968, 0.030770421, -0.10956344, -0.0758127123, 0.0597464815, 0.0537124835, 0.0461130328, 0.0154322674, 0.0202480275, -0.0175711345, 0.0469857901, 0.0629407316, -0.110320523, -0.0227504726, 0.101778477, 0.00699328585, -0.0352969691, -0.00667789532, 0.0517587252, 0.093935959, 0.0902334079, -0.0827880949, 0.0366068222, -0.0913592726, -0.027680574, -0.0155756222, -0.0453363769, -0.0227488074, -0.0350225307, 0.0327309109, -0.0300062485, 0.074702166, 0.0113246897, -0.112213686, -0.0177954044, -0.0386749581, 0.0594641082, 0.0536112785, -0.119472139, 0.0345426239, -0.0604536422, 0.0489740446, 0.040008802, -0.0284186117, -0.0130634932, -0.0467497781, -0.127220929, 0.00473651802, 0.0637952089, -0.0506185368, 0.0466087498, 0.0644313097, -0.0731758028, -0.0195432175, 0.102037698, 0.0745835155, -0.0988737196, -0.0213504359, -0.0848389715, 0.0400128178, -0.0206991117, 0.108133748, -0.0258904882, 0.00468027173, -0.0796305761, -0.0265281927, 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0.0619538203, 0.0504338518, 0.059166465, 0.0291796084, 0.0154986782, -0.0235142745, -0.12615411, -0.052552022, 0.0744046494, 0.0209123958, -0.0783955231, 0.0477290712, -0.00187366793, -0.107764266, -0.101437062, 0.109131232, -0.0681773126, -0.0174206644, -0.0574743822, 0.109923758, 0.0875914767, 0.102982052, 0.023192374, 0.03620781, 0.0997582749, -0.0275457073, 0.0588434078, 0.0941468626, 0.114340775, -0.0277980436, -0.00782807078, -0.0193677321, -0.0629244074, 0.0249816719, -0.0514511801, 0.0340736508};
float tensor_35[100];
float tensor_34[100];
float tensor_31[100];
float tensor_29[100];
float tensor_28[100];
float tensor_27[100];
float tensor_26[100];
float tensor_36[100];
float tensor_33[100];
float tensor_30[100];
float tensor_32[100];
float tensor_23[100];
float tensor_25[100];
float tensor_37[100];
float tensor_24[100];
float tensor_39[20];
float tensor_38[100];
float tensor_22[100];
float tensor_21[100];
std::vector<float> infer(float* tensor_input1){
	Eigen::Map<Eigen::Matrix<float,2,100,Eigen::RowMajor>> em_input1(tensor_input1);
	Eigen::Map<Eigen::Matrix<float,50,100,Eigen::RowMajor>> em_0weight(tensor_0weight);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_21(tensor_21);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_0bias(tensor_0bias);
	em_21 = em_input1 * em_0weight.transpose()+ em_0bias ;
	for (int id = 0; id < 100 ; id++){
		tensor_22[id] = ((tensor_21[id] > 0 )? tensor_21[id] : 0);
	}
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_22(tensor_22);
	Eigen::Map<Eigen::Matrix<float,50,50,Eigen::RowMajor>> em_2weight(tensor_2weight);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_23(tensor_23);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_2bias(tensor_2bias);
	em_23 = em_22 * em_2weight.transpose()+ em_2bias ;
	for (int id = 0; id < 100 ; id++){
		tensor_24[id] = ((tensor_23[id] > 0 )? tensor_23[id] : 0);
	}
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_24(tensor_24);
	Eigen::Map<Eigen::Matrix<float,50,50,Eigen::RowMajor>> em_4weight(tensor_4weight);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_25(tensor_25);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_4bias(tensor_4bias);
	em_25 = em_24 * em_4weight.transpose()+ em_4bias ;
	for (int id = 0; id < 100 ; id++){
		tensor_26[id] = ((tensor_25[id] > 0 )? tensor_25[id] : 0);
	}
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_26(tensor_26);
	Eigen::Map<Eigen::Matrix<float,50,50,Eigen::RowMajor>> em_6weight(tensor_6weight);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_27(tensor_27);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_6bias(tensor_6bias);
	em_27 = em_26 * em_6weight.transpose()+ em_6bias ;
	for (int id = 0; id < 100 ; id++){
		tensor_28[id] = ((tensor_27[id] > 0 )? tensor_27[id] : 0);
	}
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_28(tensor_28);
	Eigen::Map<Eigen::Matrix<float,50,50,Eigen::RowMajor>> em_8weight(tensor_8weight);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_29(tensor_29);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_8bias(tensor_8bias);
	em_29 = em_28 * em_8weight.transpose()+ em_8bias ;
	for (int id = 0; id < 100 ; id++){
		tensor_30[id] = ((tensor_29[id] > 0 )? tensor_29[id] : 0);
	}
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_30(tensor_30);
	Eigen::Map<Eigen::Matrix<float,50,50,Eigen::RowMajor>> em_10weight(tensor_10weight);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_31(tensor_31);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_10bias(tensor_10bias);
	em_31 = em_30 * em_10weight.transpose()+ em_10bias ;
	for (int id = 0; id < 100 ; id++){
		tensor_32[id] = ((tensor_31[id] > 0 )? tensor_31[id] : 0);
	}
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_32(tensor_32);
	Eigen::Map<Eigen::Matrix<float,50,50,Eigen::RowMajor>> em_12weight(tensor_12weight);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_33(tensor_33);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_12bias(tensor_12bias);
	em_33 = em_32 * em_12weight.transpose()+ em_12bias ;
	for (int id = 0; id < 100 ; id++){
		tensor_34[id] = ((tensor_33[id] > 0 )? tensor_33[id] : 0);
	}
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_34(tensor_34);
	Eigen::Map<Eigen::Matrix<float,50,50,Eigen::RowMajor>> em_14weight(tensor_14weight);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_35(tensor_35);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_14bias(tensor_14bias);
	em_35 = em_34 * em_14weight.transpose()+ em_14bias ;
	for (int id = 0; id < 100 ; id++){
		tensor_36[id] = ((tensor_35[id] > 0 )? tensor_35[id] : 0);
	}
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_36(tensor_36);
	Eigen::Map<Eigen::Matrix<float,50,50,Eigen::RowMajor>> em_16weight(tensor_16weight);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_37(tensor_37);
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_16bias(tensor_16bias);
	em_37 = em_36 * em_16weight.transpose()+ em_16bias ;
	for (int id = 0; id < 100 ; id++){
		tensor_38[id] = ((tensor_37[id] > 0 )? tensor_37[id] : 0);
	}
	Eigen::Map<Eigen::Matrix<float,2,50,Eigen::RowMajor>> em_38(tensor_38);
	Eigen::Map<Eigen::Matrix<float,10,50,Eigen::RowMajor>> em_18weight(tensor_18weight);
	Eigen::Map<Eigen::Matrix<float,2,10,Eigen::RowMajor>> em_39(tensor_39);
	Eigen::Map<Eigen::Matrix<float,2,10,Eigen::RowMajor>> em_18bias(tensor_18bias);
	em_39 = em_38 * em_18weight.transpose()+ em_18bias ;
	std::vector<float> ret (tensor_39, tensor_39 + sizeof(tensor_39) / sizeof(tensor_39[0]));
	return ret;
}
} //TMVA_SOFIE_Linear_2