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

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


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]
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  [-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]
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  [ 1.02105784  0.71554309  2.19740963  2.93254256  5.33089495]
  [ 0.08677568  0.34677446  1.87187743  3.03682566  5.10183382]
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  [-1.00694048  1.65609658  1.762411    4.03825426  4.34276962]
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  [-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]
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  [ 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 ]
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  [-0.17173065  0.26005441  1.48770821  2.6219914   4.4457283 ]
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  [ 0.4631353   1.01141441  3.4980216   4.20224905  5.88842249]
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  [ 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,
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         -6.80337191e-01,  -9.78736401e+00,   1.32761359e+00,
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         -8.22015524e-01,   6.61805272e-01,   2.09804267e-01,
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         -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,
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          6.85002446e-01,   3.61282468e-01,   1.17086756e+00,
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         -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,
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         -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,
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         -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,
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        -0.13823931, -0.38524339,  0.32180765,  0.12340824, -0.35963342,
        -0.12472892,  0.34280482, -0.42604545, -0.05306755, -0.50786221,
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         0.0394078 ,  0.27046308, -0.67985237, -0.60897684,  0.622244  ,
         0.18340507, -0.67110789, -0.58534211,  0.09149791, -0.06835601,
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        -0.22094995, -0.08114401,  0.1133056 ,  0.68485337, -0.35594028,
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        -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 23
  24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
  48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71
  72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95
  96 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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