DL之LSTM之MvP：基于TF利用LSTM基于DIY时间训练csv文件数据预测后100个数据(多值预测)状态

目录

数据集csv文件内容

输出结果

设计思路

训练记录全过程

数据集csv文件内容

输出结果

设计思路

训练记录全过程

2018-10-17 14:33:28.811258: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce 940MX, pci bus id: 0000:01:00.0, compute capability: 5.0)
INFO:tensorflow:Saving checkpoints for 1 into C:\Users\……\AppData\Local\Temp\tmpxvos_wek\model.ckpt.
INFO:tensorflow:loss = 1.99025, step = 1
INFO:tensorflow:global_step/sec: 12.7154
INFO:tensorflow:loss = 0.407616, step = 101 (7.870 sec)
INFO:tensorflow:Saving checkpoints for 200 into C:\Users\……\AppData\Local\Temp\tmpxvos_wek\model.ckpt.
INFO:tensorflow:Loss for final step: 0.159871.
INFO:tensorflow:Starting evaluation at 2018-10-17-06:33:55
2018-10-17 14:33:55.520513: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce 940MX, pci bus id: 0000:01:00.0, compute capability: 5.0)
INFO:tensorflow:Restoring parameters from C:\Users\……\AppData\Local\Temp\tmpxvos_wek\model.ckpt-200
INFO:tensorflow:Evaluation [1/1]
INFO:tensorflow:Finished evaluation at 2018-10-17-06:33:56
INFO:tensorflow:Saving dict for global step 200: global_step = 200, loss = 0.0914701, mean = [[[-0.02258123  1.20125902  2.46149969  3.74098039  5.00599146][-0.72656935  1.46578288  2.55133963  3.57579684  4.71380329][-0.93369555  1.27410793  2.461622    3.36797333  4.47852659][-0.28303617  1.04424524  2.28791738  3.17969871  4.3186183 ][ 0.03985038  0.77593756  2.13191533  3.18373418  4.19481421][-0.59239888  0.47297943  1.80378556  3.25553274  4.16365004][-0.78655541  0.5069496   1.60384321  3.120368    4.42847204][ 0.16859503  0.73337585  1.61688042  3.07779312  4.62821817][ 0.75624537  1.12221634  1.78613925  3.33996463  4.76050758][-0.18138258  1.6589669   2.04715395  3.553339    4.89331532][-0.85793096  1.92421985  2.32753062  3.51988888  5.09496164][ 0.27542502  2.20485401  2.57294631  3.66244674  5.32275152][ 1.0331111   2.32110286  2.92849159  3.74277306  5.4806776 ][-0.31996989  2.0762732   3.00064945  3.91731429  5.53373528][-1.13102674  1.54052997  3.18407869  4.14603806  5.69867373][ 0.28646153  1.02832162  3.37013149  4.43634033  5.75095129][ 1.00686896  0.58188593  3.53338814  4.49843788  5.85889435][-0.51223803  0.2763325   3.41038799  4.54861832  5.83758831][-1.0338639   0.21294475  3.2338388   4.72177982  5.83597088][ 0.26228762  0.40723181  3.15446091  4.76411152  5.85220051][ 0.76278716  0.66311061  3.03175783  4.69197798  5.87075472][-0.45436215  1.13117456  2.76854038  4.61343575  5.85332823][-0.87863731  1.54986215  2.33939052  4.57823992  5.82480431][ 0.39277369  1.8990984   2.10363054  4.42317438  5.8106041 ][ 0.99085194  2.13706136  1.87079835  4.18970537  5.8008256 ][-0.52076232  2.05188704  1.74643803  4.05304956  5.72936773][-0.97566265  1.69756258  1.62115216  3.93999577  5.57423878][ 0.43046591  1.39184296  1.65154696  3.71441293  5.45222044][ 0.88588709  1.04985034  1.66515064  3.51741457  5.32099676][-0.72021019  0.54022431  1.68251848  3.34307003  5.02586746][-0.99685818  0.29293615  1.81516552  3.04635096  4.92267561][ 0.44880253  0.35789663  2.05799055  2.88136172  4.85719347][ 0.79797494  0.61584455  2.40396357  2.89541912  4.63176489][-0.65483415  0.94648749  2.64026642  2.83008909  4.46917629][-0.80363208  1.36413217  2.76368833  2.73575735  4.34707785][ 0.62078804  1.82089138  2.99507046  2.72794437  4.23858547][ 0.76629472  2.19677806  3.32607484  2.82271099  4.09487867][-0.78800523  2.26259255  3.48484802  2.91107988  3.99762201][-0.75864941  2.10827589  3.51060867  2.99060631  4.02838755][ 0.78492832  1.87137747  3.5965333   3.09973478  4.06794024][ 0.6314953   1.40174592  3.51098204  3.28556228  3.97504044][-0.83633691  0.80587745  3.15457964  3.51566696  4.00417137][-0.6733321   0.45035005  2.85752249  3.7064538   4.15681696][ 0.68248016  0.20115876  2.60771561  3.91507864  4.24229527][ 0.62391466  0.21057343  2.31893015  4.1396451   4.15356827][-0.80487281  0.54158294  2.04153323  4.40795135  4.19229746][-0.69418651  1.03371727  1.8360095   4.52020407  4.39075708][ 0.78446406  1.38377047  1.67458987  4.57382059  4.57684278][ 0.55859393  1.90988648  1.54792333  4.67716694  4.6954608 ][-0.97675616  2.15290236  1.39113235  4.73126888  4.91898394][-0.54306972  2.15442061  1.46775818  4.77496624  5.09109259][ 0.76895946  2.07765841  1.506634    4.75528717  5.2398057 ][ 0.34301981  1.68889821  1.67374158  4.69288206  5.39653444][-0.91761684  1.13869679  1.91118884  4.60692167  5.49643993][-0.47333306  0.69090563  2.23274636  4.49918842  5.56999016][ 0.80657309  0.3588593   2.67364287  4.30588436  5.63451719][ 0.52129406  0.28135842  3.03734875  4.08425713  5.72058821][-0.87032658  0.30913079  3.13875175  3.87309504  5.82510281][-0.38541344  0.58203012  3.22977924  3.70223856  5.87730312][ 0.92312407  0.97287679  3.4374516   3.46826148  5.92560816][ 0.38667771  1.57088554  3.57924008  3.18373251  5.97714472][-0.96847367  1.95864582  3.46318865  2.99153256  5.9243679 ][-0.29042897  2.15955973  3.28767014  2.92731619  5.80609179][ 1.05476689  2.23997283  3.10138607  2.74227214  5.72408485][ 0.26864958  1.96871543  2.81539583  2.67804813  5.64276505][-1.11794412  1.45112896  2.54433537  2.77567339  5.55643272][-0.26396298  0.96271485  2.42007947  2.90135527  5.47261381][ 1.02105784  0.71554309  2.19740963  2.93254256  5.33089495][ 0.08677568  0.34677446  1.87187743  3.03682566  5.10183382][-1.11194074  0.15401816  1.66281927  3.15410566  4.97747374][-0.12272341  0.30180877  1.52159286  3.18472672  4.94240236][ 0.98251247  0.69807512  1.54382443  3.46032691  4.70980072][ 0.04094632  1.22731531  1.67413783  3.83074236  4.43305254][-1.00694048  1.65609658  1.762411    4.03825426  4.34276962][-0.05897149  2.0092473   1.91996717  4.16084623  4.32943392][ 0.91650641  2.22678471  2.12102604  4.30212688  4.19473886][-0.03337113  2.1746881   2.37334609  4.39889717  4.02976465][-1.0127815   1.92308354  2.61303473  4.56022596  3.94330001][ 0.01059423  1.54359317  2.90251637  4.71572495  3.96141529][ 1.03956962  1.11690688  3.25370812  4.86467266  3.97466874][ 0.09197591  0.67883945  3.38240027  4.86860847  3.96421003][-0.84794611  0.28496414  3.42090082  4.82572269  4.04805946][ 0.21027137  0.17020655  3.4868753   4.69520617  4.18217802][ 1.01854718  0.26949811  3.63699007  4.57096434  4.17454147][-0.22191104  0.68545365  3.378582    4.41910028  4.15620136][-0.97954774  1.18409562  3.06682301  4.31807613  4.28068304][ 0.37906742  1.62706232  2.79079866  4.16520739  4.43478918][ 1.10579622  2.03329659  2.54347825  3.92974758  4.61650276][-0.28453454  2.20910454  2.19329453  3.73508215  4.73528385][-1.03763247  2.18529534  1.81834531  3.66158772  4.93438673][ 0.22151242  1.97848916  1.63359141  3.46144772  5.14855433][ 0.96506304  1.52342212  1.46656311  3.22499657  5.37121248][-0.28004175  0.94278771  1.38676071  3.07118821  5.54157686][-0.78861243  0.53288817  1.50251698  2.868891    5.65895605][ 0.37555215  0.3845585   1.7211839   2.72783947  5.80253601][ 0.71072179  0.35191894  1.86516833  2.74501562  5.87327385][-0.66796905  0.4802804   2.06942296  2.74930239  5.83967638][-0.91003895  0.74719334  2.2557373   2.69235229  5.83291674][ 0.46069285  1.3816551   2.70611811  2.81655002  5.91043425][ 0.89528     1.958776    3.00707531  2.85689092  5.92750597]]], observed = [[[ 0.92690629  1.99107242  2.56546235  3.07914758  4.04839039][ 0.10801     1.4164536   2.16868401  2.94963956  4.1263504 ][-0.80056763  1.01721334  1.96434748  2.99885345  4.04300499][ 0.06070429  0.71954006  1.97650123  2.89265585  4.09510136][ 0.93371218  0.28052121  1.41018558  2.69232607  4.06481171][-0.17173065  0.26005441  1.48770821  2.6219914   4.4457283 ][-1.00180161  0.33304515  1.5000639   2.88888311  4.24755859][ 0.05800619  0.68892938  1.56543458  2.99840355  4.52726889][ 0.76413947  1.24704874  1.77649283  3.13578606  4.63238907][-0.23033187  1.47904003  2.03547549  3.20624042  4.77979994][-1.03846049  2.01132989  2.3197751   3.67951536  5.09716797][ 0.18864359  2.23285341  2.6833849   3.49817157  5.24928236][ 0.91207302  2.24244452  2.71362615  3.96332598  5.37802267][-0.29658866  2.02594638  3.07733917  3.99698329  5.56365919][-0.95996147  1.45078635  3.18996429  4.37630606  5.65356016][ 0.4631353   1.01141441  3.4980216   4.20224905  5.88842249][ 0.92935413  0.62663531  3.70508265  4.51791573  5.73945951][-0.51911074  0.26924923  3.39866829  4.46801996  5.82768154][-0.92433101  0.34960285  3.21762419  4.72803593  5.94918919][ 0.25323939  0.34515801  3.1107142   4.79311562  5.94892597][ 0.63740838  0.69899666  3.25232482  4.73814726  5.96120119][-0.40739685  1.17456341  2.49526834  4.59323406  5.82501698][-0.96748543  1.66655934  2.47284603  4.5831604   5.88721418][ 0.47448087  1.95018554  2.0228951   4.48651123  5.82559443][ 1.04309654  2.23519897  1.91924131  4.19094658  5.87457371][-0.51786149  2.12501979  1.70266616  4.05280876  5.72160912][-0.94530159  1.65464652  1.8156718   3.92309856  5.58270502][ 0.50115389  1.40600765  1.53991389  3.72853255  5.60168982][ 0.9728595   1.00344324  1.5175643   3.64092374  5.10567713][-0.70553404  0.46530625  1.70385408  3.33236861  5.09182501][-0.94609362  0.2945393   1.88052821  2.93011498  4.97354937][ 0.47922122  0.30846587  2.03445888  2.90772891  4.8624177 ][ 0.75402999  0.54975224  2.46115804  2.95063353  4.71834612][-0.64875948  0.89461547  2.59224629  2.8126986   4.4348011 ][-0.75782996  1.39123917  2.6925807   2.61834836  4.36580038][ 0.56565332  1.72360027  2.97794914  2.80403829  4.27327251][ 0.8674401   2.21100736  3.38648081  2.84057522  4.12210178][-0.89456779  2.17549109  3.45532489  2.90446019  4.00251722][-0.71544236  2.15105391  3.52041793  3.03650403  4.12809229][ 0.80671704  1.8150456   3.60463333  3.007478    3.98440766][ 0.52701479  1.31803513  3.43842196  3.33325958  4.03232384][-0.79593688  0.84780914  3.09875131  3.52863145  3.94883919][-0.61024582  0.42553043  2.9258194   3.77238727  4.27287245][ 0.61166227  0.17843205  2.48128223  3.73212099  4.17319012][ 0.65086657  0.22034165  2.41694641  4.26091003  4.27271652][-0.77415699  0.6326676   2.05474353  4.32889223  4.18029737][-0.71405846  0.92456239  1.75706136  4.52492714  4.39726782][ 0.88962728  1.46207964  1.78299356  4.64466715  4.56317902][ 0.52014065  1.89963341  1.4137764   4.48899078  4.78805065][-1.03816938  2.08997011  1.51218379  4.84167767  4.93026066][-0.40772951  2.30878973  1.44144416  4.76854467  5.01538467][ 0.79273069  1.91367054  1.58887386  4.71739388  5.25690031][ 0.37131187  1.67565084  1.81688559  4.60353088  5.44265842][-0.81439805  1.13374639  1.8032881   4.72264242  5.5267477 ][-0.46901795  0.60124415  2.29690886  4.4985919   5.54126167][ 0.8710444   0.4075976   2.74991131  4.19060659  5.57693768][ 0.52376491  0.24770519  3.09002066  4.02095509  5.80510378][-0.88132638  0.31513104  3.11358213  3.96079111  5.81000662][-0.35792804  0.48616391  3.17884564  3.72634983  5.85693645][ 0.85303879  1.0421809   3.45835376  3.36703968  5.95859861][ 0.43531153  1.5971508   3.63313341  3.11276722  5.93643808][-1.02703714  1.92205834  3.47606111  3.06247163  6.02106667][-0.24666132  2.14653802  3.29446316  2.89936256  5.67531538][ 1.02554739  2.25943732  3.07031584  2.78176212  5.78206348][ 0.33781448  2.07589149  2.80356216  2.558882    5.70940733][-1.12023365  1.25333011  2.56497288  2.77361369  5.50799417][-0.17898025  1.11937141  2.51598692  2.91438317  5.47469568][ 0.97550952  0.60553825  2.11657739  2.88081098  5.37034988][ 0.13665336  0.36582884  1.97386038  3.13217902  5.07254505][-1.05607593  0.15315211  1.52110744  3.01308799  5.0890255 ][-0.13095281  0.33711398  1.52703083  3.16687131  4.86649418][ 1.07081056  0.71424758  1.53761387  3.45151997  4.75892305][ 0.01534104  1.24631226  1.61690938  3.85482001  4.35683775][-0.91280127  1.60791314  1.87292647  4.03037262  4.36072588][-0.08948956  2.025352    1.93484914  4.09557486  4.35327005][ 0.97864699  2.20085096  2.09003448  4.27542353  4.18050575][-0.11331264  2.24441004  2.50789237  4.41518593  4.03267145][-1.00215101  1.84305632  2.61691236  4.45425129  3.81203556][-0.01832346  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2.84102082  5.69330645][ 1.03231955  0.26087323  1.8191303   2.83951139  5.90325022][-0.53285682  0.38769552  1.70935607  2.57977057  5.7957921 ][-0.975128    0.92094874  2.51292634  2.71004605  5.87016487][ 0.54024678  1.36445475  2.6194942   2.98482561  6.02447653][ 0.987764    1.85581994  2.84685707  2.94760203  6.02121496]]], start_tuple = (array([99], dtype=int64), array([[ 1.90218008,  1.28345549,  0.72423571, -1.54894197,  2.17917752]], dtype=float32), [array([[ -2.22468042e+00,  -3.22739661e-01,  -6.18114322e-02,4.74002242e-01,  -5.23656420e-02,  -2.63940424e-01,2.80045718e-02,   2.22113937e-01,   7.31745809e-02,-2.33156943e+00,  -1.49744606e+00,   2.86370039e-01,3.30500484e-01,  -1.84197664e-01,   5.84359467e-01,8.95263404e-02,   3.31098467e-01,  -5.55595458e-02,2.19679937e-01,   4.66475964e-01,   1.00609207e+00,-6.80337191e-01,  -9.78736401e+00,   1.32761359e+00,1.29839289e+00,   6.20648742e-01,   3.64024878e-01,-2.72545362e+00,  -1.84842551e+00,   2.84402132e-01,-5.29527247e-01,   1.95285118e+00,   4.56424505e-01,-4.28236783e-01,   9.59175944e-01,   1.41466355e+00,2.62957931e-01,   1.93796530e-01,  -9.76036131e-01,1.28407359e+00,  -1.97707772e-01,   2.88512230e+00,8.32995594e-01,  -5.32110453e-01,  -2.57556462e+00,-1.12045264e+00,  -4.03596491e-01,   3.89896929e-01,-3.27839553e-01,   7.90456533e-01,  -2.83772707e-01,-8.22015524e-01,   6.61805272e-01,   2.09804267e-01,-4.07952458e-01,  -2.95348197e-01,   4.17161107e-01,-9.93740320e-01,  -1.18675083e-01,  -8.23316276e-01,2.69034244e-02,  -1.88849556e+00,   2.10833088e-01,5.37440538e+00,   7.85503864e-01,   7.81758651e-02,1.53081512e+00,  -1.06369352e+00,  -1.14959764e+00,1.57518709e+00,   4.10526514e-01,  -1.17866611e+00,-1.43809450e+00,   3.01593304e-01,  -8.29981342e-02,7.02795267e-01,  -6.90528154e-01,  -1.18140829e+00,6.85002446e-01,   3.61282468e-01,   1.17086756e+00,2.45300770e-01,  -1.38156855e+00,   3.23621058e+00,1.34867221e-01,  -3.19625527e-01,  -3.63594890e-01,2.38367006e-01,   1.03092706e+00,  -6.15495563e-01,5.68815589e-01,   4.03137016e+00,  -3.29151098e-03,-1.63421535e+00,  -1.16476044e-02,  -4.56767917e-01,-1.25822902e+00,   4.02444005e-01,  -3.32886696e-01,-7.10357428e-01,   1.81120062e+00,   8.15002382e-01,9.54707742e-01,   1.79125595e+00,  -6.53005838e-01,-5.05221367e-01,   3.48849654e-01,   3.47478867e-01,1.50463963e+00,  -1.60333365e-01,  -1.44089317e+00,-5.46101689e-01,  -1.77607924e-01,   1.74866974e+00,-6.25463724e-01,  -2.33436361e-01,   5.01568556e-01,-6.51883841e-01,   1.31238520e-01,   5.75658679e-01,7.03148782e-01,   7.81953931e-01,  -8.42900515e-01,-2.76643723e-01,   5.93519658e-02,   6.59166038e-01,-4.52019334e-01,  -6.21397793e-01]], dtype=float32), array([[-0.82274085, -0.0831282 , -0.0401129 ,  0.39383799, -0.02410484,-0.16524354,  0.01380365,  0.1165917 ,  0.05850193, -0.69423026,-0.35230288,  0.23147044,  0.23356193, -0.13417032,  0.4211756 ,0.06820218,  0.29203904, -0.03941571,  0.16824852,  0.27811021,0.57919294, -0.44307229, -0.25352019,  0.64951479,  0.50807917,0.53396499,  0.33263975, -0.87917364, -0.66070503,  0.18152577,-0.28445041,  0.57785678,  0.22414218, -0.21887593,  0.55092806,0.57028347,  0.19546211,  0.10514873, -0.60573238,  0.57110918,-0.16360006,  0.85401636,  0.38677689, -0.30278051, -0.6265015 ,-0.49790761, -0.17754224,  0.15779942, -0.29400098,  0.31791395,-0.13823931, -0.38524339,  0.32180765,  0.12340824, -0.35963342,-0.12472892,  0.34280482, -0.42604545, -0.05306755, -0.50786221,0.00755332, -0.40128583,  0.14851592,  0.36195096,  0.24064459,0.0394078 ,  0.27046308, -0.67985237, -0.60897684,  0.622244  ,0.18340507, -0.67110789, -0.58534211,  0.09149791, -0.06835601,0.3644565 , -0.42829639, -0.47942913,  0.30781382,  0.27426034,0.61893439,  0.19592988, -0.57712489,  0.77699608,  0.03725263,-0.22094995, -0.08114401,  0.1133056 ,  0.68485337, -0.35594028,0.42454574,  0.58127284, -0.00092937, -0.79727775, -0.00490146,-0.31414184, -0.38323012,  0.21830694, -0.09383765, -0.39982662,0.6516341 ,  0.40829551,  0.69027084,  0.74982709, -0.18299167,-0.21854903,  0.24806808,  0.10432597,  0.64028525, -0.10168972,-0.5904057 , -0.40424132, -0.12101817,  0.65570384, -0.27304602,-0.10488962,  0.37432173, -0.35630706,  0.05456828,  0.41641083,0.40720937,  0.34507042, -0.59877414, -0.13994519,  0.03818761,0.46776542, -0.23145574, -0.46315274]], dtype=float32)]), times = [[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 2324 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 4748 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 7172 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 9596 97 98 99]]
WARNING:tensorflow:Skipping summary for mean, must be a float, np.float32, np.int64, np.int32 or int.
WARNING:tensorflow:Skipping summary for observed, must be a float, np.float32, np.int64, np.int32 or int.
WARNING:tensorflow:Skipping summary for start_tuple, must be a float, np.float32, np.int64, np.int32 or int.
WARNING:tensorflow:Skipping summary for times, must be a float, np.float32, np.int64, np.int32 or int.
WARNING:tensorflow:Input graph does not contain a QueueRunner. That means predict yields forever. This is probably a mistake.
2018-10-17 14:33:57.701743: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce 940MX, pci bus id: 0000:01:00.0, compute capability: 5.0)
INFO:tensorflow:Restoring parameters from C:\Users\……\AppData\Local\Temp\tmpxvos_wek\model.ckpt-200
2018-10-17 14:33:58.032294: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.033565: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.034395: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.035351: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.036145: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.036830: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.037727: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.038556: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.039413: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.040245: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.041087: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.042030: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.043362: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.044424: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.045376: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.046395: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.047807: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.049811: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.050849: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]
2018-10-17 14:33:58.051606: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\framework\op_kernel.cc:1192] Out of range: Reached limit of 1[[Node: limit_epochs_2/CountUpTo = CountUpTo[T=DT_INT64, _class=["loc:@limit_epochs_2/epochs"], limit=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](limit_epochs_2/epochs)]]

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