VX小程序内的输出

输出========
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[251] real: -1.965493936495477e-7, imag: -4.2831587165892415e-9
[252] real: 3.956670298066456e-7, imag: 1.3889797401134274e-7
[253] real: -0.0000011338220247125719, imag: 5.551701178774238e-7
[254] real: 0.0000012011506669296068, imag: 4.968436542185373e-7
[255] real: -9.016004582917958e-7, imag: 5.952057904323738e-7
[256] real: 0.000002048598389592371, imag: 9.403008220942866e-7
[257] real: -9.894748700389755e-7, imag: 7.933855385999777e-7
[258] real: 2.775398115772987e-7, imag: 1.291797389058047e-7
[259] real: -1.8009055224865733e-7, imag: 4.363079142422066e-8
[260] real: 1.725862261992006e-7, imag: 6.756182102662933e-8
[261] real: -1.0812684081429325e-7, imag: 2.524978981455206e-8
[262] real: 2.072962068666584e-8, imag: 7.988841588257856e-9
[263] real: -9.740961104398593e-8, imag: -3.280764104829359e-9
[264] real: 5.72001930265742e-8, imag: 1.842487407088811e-8
[265] real: -4.6103343720460543e-7, imag: -1.2196892384963576e-9
[266] real: 1.0823748652910581e-7, imag: 2.74482943041221e-8
[267] real: -5.18775891578116e-7, imag: 1.7300749277637806e-8
[268] real: 1.7727100498632353e-7, imag: 6.630786941741462e-8
[269] real: -9.045534454799053e-8, imag: 9.236603659701359e-8
[270] real: 2.7865286966743952e-8, imag: 1.252854531230696e-8
[271] real: -1.4594471409168364e-8, imag: 3.5382758944990655e-9
[272] real: 4.38629488286324e-9, imag: 1.5821137733240676e-9
[273] real: -7.578361049809246e-9, imag: 2.131848919617596e-9
[274] real: 3.3039077029783925e-10, imag: 1.0246788140211294e-10
[275] real: -9.008743973026867e-9, imag: -4.831335331800801e-10
[276] real: 3.669162473851628e-10, imag: 9.148257151814221e-11
[277] real: -1.6244673162191248e-8, imag: 2.604050308718797e-9
[278] real: 4.135490283552201e-10, imag: 1.3165483980781545e-10
[279] real: -1.3817510691183088e-8, imag: 5.80344217127049e-10
[280] real: 1.3601798576345914e-9, imag: 3.025349970542379e-10
[281] real: -1.4236077205964648e-8, imag: 2.715019320476131e-10
[282] real: 2.020119893586525e-8, imag: 2.064058257644774e-9
[283] real: -0.0000015635084764653584, imag: -1.8871907059292425e-7
[284] real: 0.000001994539616134716, imag: -1.274050305255514e-7
[285] real: -0.000044543987314682454, imag: -0.000005582256562775001
[286] real: 0.00006421042053261772, imag: -0.000038289545045699924
[287] real: -0.00005704389332095161, imag: -0.000006354113793349825
[288] real: 0.0001380226167384535, imag: 0.000023557156964670867
[289] real: 0.00019598529615905136, imag: 0.0002351534931221977
[290] real: 0.0003242865204811096, imag: 0.0002964403247460723
[291] real: 0.00005342678923625499, imag: 0.0002079937985399738
[292] real: 0.00037915591383352876, imag: 0.00012216817412991077
[293] real: 0.0004855655424762517, imag: 0.00041957831126637757
[294] real: 0.00026533190975897014, imag: 0.00025234438362531364
[295] real: 0.0005312126013450325, imag: 0.0009187713149003685
[296] real: 0.018719704821705818, imag: 0.014115707948803902
[297] real: 0.022942055016756058, imag: 0.024068757891654968
[298] real: 0.09766022115945816, imag: 0.09509161859750748
[299] real: 0.1818433701992035, imag: 0.18637263774871826
[300] real: 0.14491386711597443, imag: 0.1464080661535263
[301] real: 0.2733817994594574, imag: 0.27138903737068176
[302] real: 0.3048829138278961, imag: 0.3102148473262787
[303] real: 0.3877951502799988, imag: 0.38157838582992554
[304] real: 0.37107938528060913, imag: 0.3672472834587097
[305] real: 0.47374406456947327, imag: 0.47807374596595764
[306] real: 0.521094560623169, imag: 0.5236879587173462
[307] real: 0.5286753177642822, imag: 0.5330381393432617
[308] real: 0.5329346060752869, imag: 0.5337961316108704
[309] real: 0.5420546531677246, imag: 0.5405004024505615
[310] real: 0.44719523191452026, imag: 0.44521450996398926
[311] real: 0.21182499825954437, imag: 0.21268628537654877
[312] real: 0.08101388067007065, imag: 0.08152245730161667
[313] real: 0.056621722877025604, imag: 0.057834506034851074
[314] real: 0.2038278430700302, imag: 0.20541973412036896
[315] real: 0.09737236052751541, imag: 0.09974568337202072
[316] real: 0.0058892774395644665, imag: 0.005967529024928808
[317] real: 0.013916177675127983, imag: 0.014455154538154602
[318] real: 0.04976923018693924, imag: 0.04971825331449509
[319] real: 0.23815974593162537, imag: 0.23620370030403137
[320] real: 0.3562079966068268, imag: 0.36255738139152527

onnx使用相同的输入的输出结果

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