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ashish1405/lstm_ctc_ocr.out

Created July 31, 2017 11:02
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lstm_ctc_ocr.out
python lstm_ocr.py
loading train data, please wait--------------------- get image: 128000
loading validation data, please wait--------------------- get image: 500
2017-07-31 11:36:49.389513: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-31 11:36:49.389668: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-31 11:36:49.389719: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-07-31 11:36:49.389764: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-31 11:36:49.389808: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
=============================begin training=============================
batch 99 : time 0.5441863536834717
batch 199 : time 0.5177931785583496
batch 299 : time 0.6034924983978271
batch 399 : time 0.5012691020965576
batch 499 : time 0.5712463855743408
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 11:41:31 Epoch 1/10000, accuracy = 0.000,avg_train_cost = 24.173, lastbatch_err = 1.000, time = 281.275,lr=0.00100000
batch 599 : time 0.5066502094268799
batch 699 : time 0.5181698799133301
batch 799 : time 0.5676016807556152
batch 899 : time 0.5204184055328369
batch 999 : time 0.5451698303222656
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 11:46:13 Epoch 1/10000, accuracy = 0.000,avg_train_cost = 23.285, lastbatch_err = 1.000, time = 563.783,lr=0.00090000
batch 1099 : time 0.5410592555999756
batch 1199 : time 0.5525193214416504
batch 1299 : time 0.5550072193145752
batch 1399 : time 0.536409854888916
batch 1499 : time 0.5373854637145996
seq 0: origin: [12, 6, 37, 60] decoded:[45]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[45]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[45]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[45]
seq 4: origin: [53, 12, 30, 27] decoded:[45]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[45]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[45]
seq 7: origin: [26, 54, 57, 4] decoded:[45]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[45]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[45]
7/31 11:50:53 Epoch 1/10000, accuracy = 0.000,avg_train_cost = 22.917, lastbatch_err = 0.982, time = 843.945,lr=0.00090000
batch 1599 : time 0.48163318634033203
batch 1699 : time 0.4801967144012451
batch 1799 : time 0.619030237197876
batch 1899 : time 0.5627412796020508
batch 1999 : time 0.5864784717559814
seq 0: origin: [12, 6, 37, 60] decoded:[24]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[24]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[24]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[24]
seq 4: origin: [53, 12, 30, 27] decoded:[24]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[24]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[24]
seq 7: origin: [26, 54, 57, 4] decoded:[24]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[24]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[24]
7/31 11:55:35 Epoch 1/10000, accuracy = 0.000,avg_train_cost = 22.699, lastbatch_err = 0.980, time = 1125.594,lr=0.00081000
batch 99 : time 0.5403633117675781
batch 199 : time 0.49687790870666504
batch 299 : time 0.5349910259246826
batch 399 : time 0.5366964340209961
batch 499 : time 0.5636172294616699
seq 0: origin: [12, 6, 37, 60] decoded:[47]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[47]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[47]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[47]
seq 4: origin: [53, 12, 30, 27] decoded:[47]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[47]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[47]
seq 7: origin: [26, 54, 57, 4] decoded:[47]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[47]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[47]
7/31 12:0:16 Epoch 2/10000, accuracy = 0.000,avg_train_cost = 22.035, lastbatch_err = 0.986, time = 280.458,lr=0.00081000
batch 599 : time 0.5291383266448975
batch 699 : time 0.574242115020752
batch 799 : time 0.5811817646026611
batch 899 : time 0.5299429893493652
batch 999 : time 0.5617513656616211
seq 0: origin: [12, 6, 37, 60] decoded:[10]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[10]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[45]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[45]
seq 4: origin: [53, 12, 30, 27] decoded:[10]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[10]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[45]
seq 7: origin: [26, 54, 57, 4] decoded:[45]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[45]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[45]
7/31 12:4:58 Epoch 2/10000, accuracy = 0.000,avg_train_cost = 22.030, lastbatch_err = 0.983, time = 562.499,lr=0.00072900
batch 1099 : time 0.5431563854217529
batch 1199 : time 0.628129243850708
batch 1299 : time 0.5352153778076172
batch 1399 : time 0.6067144870758057
batch 1499 : time 0.5709116458892822
seq 0: origin: [12, 6, 37, 60] decoded:[27]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[27]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[27]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[27]
seq 4: origin: [53, 12, 30, 27] decoded:[27]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[27]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[27]
seq 7: origin: [26, 54, 57, 4] decoded:[27]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[27]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[27]
7/31 12:9:37 Epoch 2/10000, accuracy = 0.000,avg_train_cost = 22.023, lastbatch_err = 0.985, time = 842.222,lr=0.00072900
batch 1599 : time 0.4956855773925781
batch 1699 : time 0.5516507625579834
batch 1799 : time 0.5566701889038086
batch 1899 : time 0.5677073001861572
batch 1999 : time 0.4814012050628662
seq 0: origin: [12, 6, 37, 60] decoded:[24]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[24]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[24]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[24]
seq 4: origin: [53, 12, 30, 27] decoded:[24]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[24]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[24]
seq 7: origin: [26, 54, 57, 4] decoded:[24]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[24]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[24]
7/31 12:14:19 Epoch 2/10000, accuracy = 0.000,avg_train_cost = 22.021, lastbatch_err = 0.980, time = 1123.849,lr=0.00065610
batch 99 : time 0.6180899143218994
batch 199 : time 0.5613317489624023
batch 299 : time 0.5723628997802734
batch 399 : time 0.48446059226989746
batch 499 : time 0.5786473751068115
seq 0: origin: [12, 6, 37, 60] decoded:[27]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[27]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[27]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[27]
seq 4: origin: [53, 12, 30, 27] decoded:[27]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[27]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[27]
seq 7: origin: [26, 54, 57, 4] decoded:[27]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[27]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[27]
7/31 12:18:58 Epoch 3/10000, accuracy = 0.000,avg_train_cost = 21.998, lastbatch_err = 0.985, time = 279.259,lr=0.00065610
batch 599 : time 0.5490689277648926
batch 699 : time 0.5781164169311523
batch 799 : time 0.5881354808807373
batch 899 : time 0.5343277454376221
batch 999 : time 0.5248382091522217
seq 0: origin: [12, 6, 37, 60] decoded:[54]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[54]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[54]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[54]
seq 4: origin: [53, 12, 30, 27] decoded:[54]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[54]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[54]
seq 7: origin: [26, 54, 57, 4] decoded:[54]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[54]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[54]
7/31 12:23:41 Epoch 3/10000, accuracy = 0.000,avg_train_cost = 22.007, lastbatch_err = 0.984, time = 561.679,lr=0.00059049
batch 1099 : time 0.5289442539215088
batch 1199 : time 0.5951673984527588
batch 1299 : time 0.5131628513336182
batch 1399 : time 0.510167121887207
batch 1499 : time 0.5481982231140137
seq 0: origin: [12, 6, 37, 60] decoded:[45]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[45]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[45]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[45]
seq 4: origin: [53, 12, 30, 27] decoded:[45]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[45]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[45]
seq 7: origin: [26, 54, 57, 4] decoded:[45]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[45]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[45]
7/31 12:28:22 Epoch 3/10000, accuracy = 0.000,avg_train_cost = 22.007, lastbatch_err = 0.982, time = 842.982,lr=0.00059049
batch 1599 : time 0.5480532646179199
batch 1699 : time 0.542311429977417
batch 1799 : time 0.5221316814422607
batch 1899 : time 0.5496730804443359
batch 1999 : time 0.5922870635986328
seq 0: origin: [12, 6, 37, 60] decoded:[10]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[10]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[10]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[10]
seq 4: origin: [53, 12, 30, 27] decoded:[10]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[10]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[10]
seq 7: origin: [26, 54, 57, 4] decoded:[10]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[10]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[10]
7/31 12:33:2 Epoch 3/10000, accuracy = 0.000,avg_train_cost = 22.012, lastbatch_err = 0.985, time = 1122.669,lr=0.00053144
batch 99 : time 0.47708868980407715
batch 199 : time 0.589712381362915
batch 299 : time 0.5155763626098633
batch 399 : time 0.5262455940246582
batch 499 : time 0.5155246257781982
seq 0: origin: [12, 6, 37, 60] decoded:[27]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[27]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[27]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[27]
seq 4: origin: [53, 12, 30, 27] decoded:[27]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[27]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[27]
seq 7: origin: [26, 54, 57, 4] decoded:[27]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[27]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[27]
7/31 12:37:45 Epoch 4/10000, accuracy = 0.000,avg_train_cost = 22.022, lastbatch_err = 0.985, time = 282.934,lr=0.00053144
batch 599 : time 0.5430698394775391
batch 699 : time 0.5138776302337646
batch 799 : time 0.5717697143554688
batch 899 : time 0.5460407733917236
batch 999 : time 0.5412931442260742
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[27]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[27]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[27]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 12:42:25 Epoch 4/10000, accuracy = 0.000,avg_train_cost = 22.020, lastbatch_err = 0.998, time = 562.900,lr=0.00047830
batch 1099 : time 0.5598962306976318
batch 1199 : time 0.5717620849609375
batch 1299 : time 0.5404372215270996
batch 1399 : time 0.5854697227478027
batch 1499 : time 0.5638530254364014
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 12:47:7 Epoch 4/10000, accuracy = 0.000,avg_train_cost = 22.009, lastbatch_err = 1.000, time = 845.339,lr=0.00047830
batch 1599 : time 0.5689101219177246
batch 1699 : time 0.554175615310669
batch 1799 : time 0.614133358001709
batch 1899 : time 0.5196983814239502
batch 1999 : time 0.562626838684082
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 12:51:47 Epoch 4/10000, accuracy = 0.000,avg_train_cost = 22.007, lastbatch_err = 1.000, time = 1124.908,lr=0.00043047
batch 99 : time 0.5803995132446289
batch 199 : time 0.5168166160583496
batch 299 : time 0.5966300964355469
batch 399 : time 0.5215511322021484
batch 499 : time 0.48642444610595703
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 12:56:27 Epoch 5/10000, accuracy = 0.000,avg_train_cost = 21.995, lastbatch_err = 1.000, time = 280.213,lr=0.00043047
batch 599 : time 0.5998282432556152
batch 699 : time 0.5784451961517334
batch 799 : time 0.546921968460083
batch 899 : time 0.5402014255523682
batch 999 : time 0.5006015300750732
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[40]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:1:5 Epoch 5/10000, accuracy = 0.000,avg_train_cost = 21.994, lastbatch_err = 1.000, time = 557.997,lr=0.00038742
batch 1099 : time 0.5191323757171631
batch 1199 : time 0.6139101982116699
batch 1299 : time 0.5161809921264648
batch 1399 : time 0.5612583160400391
batch 1499 : time 0.5725810527801514
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:5:45 Epoch 5/10000, accuracy = 0.000,avg_train_cost = 21.997, lastbatch_err = 1.000, time = 838.441,lr=0.00038742
batch 1599 : time 0.5099983215332031
batch 1699 : time 0.534041166305542
batch 1799 : time 0.5557129383087158
batch 1899 : time 0.5235028266906738
batch 1999 : time 0.4970691204071045
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[27]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[27]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[27]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:10:24 Epoch 5/10000, accuracy = 0.000,avg_train_cost = 22.004, lastbatch_err = 0.998, time = 1117.285,lr=0.00034868
batch 99 : time 0.2953927516937256
batch 199 : time 0.6324477195739746
batch 299 : time 0.54833984375
batch 399 : time 0.5822467803955078
batch 499 : time 0.5377993583679199
seq 0: origin: [12, 6, 37, 60] decoded:[27]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[27]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[27]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[27]
seq 4: origin: [53, 12, 30, 27] decoded:[27]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[27]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[27]
seq 7: origin: [26, 54, 57, 4] decoded:[27]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[27]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[27]
7/31 13:15:1 Epoch 6/10000, accuracy = 0.000,avg_train_cost = 22.009, lastbatch_err = 0.985, time = 276.759,lr=0.00034868
batch 599 : time 0.6004579067230225
batch 699 : time 0.49777936935424805
batch 799 : time 0.5448007583618164
batch 899 : time 0.5202822685241699
batch 999 : time 0.5514986515045166
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:19:40 Epoch 6/10000, accuracy = 0.000,avg_train_cost = 22.020, lastbatch_err = 1.000, time = 556.445,lr=0.00031381
batch 1099 : time 0.5284109115600586
batch 1199 : time 0.5538163185119629
batch 1299 : time 0.5587844848632812
batch 1399 : time 0.5384469032287598
batch 1499 : time 0.47861552238464355
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:24:17 Epoch 6/10000, accuracy = 0.000,avg_train_cost = 22.006, lastbatch_err = 1.000, time = 833.639,lr=0.00031381
batch 1599 : time 0.5312962532043457
batch 1699 : time 0.5595519542694092
batch 1799 : time 0.5150051116943359
batch 1899 : time 0.5262784957885742
batch 1999 : time 0.4894378185272217
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:28:58 Epoch 6/10000, accuracy = 0.000,avg_train_cost = 22.002, lastbatch_err = 1.000, time = 1113.907,lr=0.00028243
batch 99 : time 0.46387338638305664
batch 199 : time 0.5724351406097412
batch 299 : time 0.5446531772613525
batch 399 : time 0.5596163272857666
batch 499 : time 0.6392371654510498
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[40]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:33:35 Epoch 7/10000, accuracy = 0.000,avg_train_cost = 22.002, lastbatch_err = 1.000, time = 277.503,lr=0.00028243
batch 599 : time 0.5053441524505615
batch 699 : time 0.5376346111297607
batch 799 : time 0.6103034019470215
batch 899 : time 0.5075290203094482
batch 999 : time 0.5310392379760742
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:38:15 Epoch 7/10000, accuracy = 0.000,avg_train_cost = 22.003, lastbatch_err = 1.000, time = 557.622,lr=0.00025419
batch 1099 : time 0.5586092472076416
batch 1199 : time 0.5076906681060791
batch 1299 : time 0.5530657768249512
batch 1399 : time 0.5090970993041992
batch 1499 : time 0.52345871925354
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:42:55 Epoch 7/10000, accuracy = 0.000,avg_train_cost = 22.007, lastbatch_err = 1.000, time = 837.517,lr=0.00025419
batch 1599 : time 0.5965220928192139
batch 1699 : time 0.5514218807220459
batch 1799 : time 0.5335226058959961
batch 1899 : time 0.5227839946746826
batch 1999 : time 0.49306225776672363
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:47:36 Epoch 7/10000, accuracy = 0.000,avg_train_cost = 22.000, lastbatch_err = 1.000, time = 1118.275,lr=0.00022877
batch 99 : time 0.5444800853729248
batch 199 : time 0.577857255935669
batch 299 : time 0.5303618907928467
batch 399 : time 0.48964834213256836
batch 499 : time 0.4960503578186035
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:52:17 Epoch 8/10000, accuracy = 0.000,avg_train_cost = 21.997, lastbatch_err = 1.000, time = 280.989,lr=0.00022877
batch 599 : time 0.5455160140991211
batch 699 : time 0.5544438362121582
batch 799 : time 0.5146384239196777
batch 899 : time 0.4751451015472412
batch 999 : time 0.5627634525299072
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 13:56:54 Epoch 8/10000, accuracy = 0.000,avg_train_cost = 21.997, lastbatch_err = 1.000, time = 558.337,lr=0.00020589
batch 1099 : time 0.5030069351196289
batch 1199 : time 0.5421373844146729
batch 1299 : time 0.5494122505187988
batch 1399 : time 0.5164597034454346
batch 1499 : time 0.5676839351654053
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:1:35 Epoch 8/10000, accuracy = 0.000,avg_train_cost = 21.994, lastbatch_err = 1.000, time = 838.958,lr=0.00020589
batch 1599 : time 0.5603344440460205
batch 1699 : time 0.5249018669128418
batch 1799 : time 0.5795021057128906
batch 1899 : time 0.5696115493774414
batch 1999 : time 0.4793570041656494
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:6:14 Epoch 8/10000, accuracy = 0.000,avg_train_cost = 21.999, lastbatch_err = 1.000, time = 1117.517,lr=0.00018530
batch 99 : time 0.5812904834747314
batch 199 : time 0.510507345199585
batch 299 : time 0.5132248401641846
batch 399 : time 0.5495615005493164
batch 499 : time 0.5421478748321533
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:10:55 Epoch 9/10000, accuracy = 0.000,avg_train_cost = 21.996, lastbatch_err = 1.000, time = 281.175,lr=0.00018530
batch 599 : time 0.5377342700958252
batch 699 : time 0.5376992225646973
batch 799 : time 0.5676224231719971
batch 899 : time 0.603806734085083
batch 999 : time 0.5680382251739502
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:15:34 Epoch 9/10000, accuracy = 0.000,avg_train_cost = 22.002, lastbatch_err = 1.000, time = 560.466,lr=0.00016677
batch 1099 : time 0.5789008140563965
batch 1199 : time 0.5217783451080322
batch 1299 : time 0.5420658588409424
batch 1399 : time 0.52066969871521
batch 1499 : time 0.5049715042114258
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:20:14 Epoch 9/10000, accuracy = 0.000,avg_train_cost = 21.999, lastbatch_err = 1.000, time = 840.753,lr=0.00016677
batch 1599 : time 0.540468692779541
batch 1699 : time 0.5448243618011475
batch 1799 : time 0.48200201988220215
batch 1899 : time 0.5430328845977783
batch 1999 : time 0.29607439041137695
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:24:53 Epoch 9/10000, accuracy = 0.000,avg_train_cost = 21.998, lastbatch_err = 1.000, time = 1119.814,lr=0.00015009
batch 99 : time 0.5543665885925293
batch 199 : time 0.5164732933044434
batch 299 : time 0.5525078773498535
batch 399 : time 0.5060248374938965
batch 499 : time 0.5244090557098389
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:29:34 Epoch 10/10000, accuracy = 0.000,avg_train_cost = 21.982, lastbatch_err = 1.000, time = 280.809,lr=0.00015009
batch 599 : time 0.48204565048217773
batch 699 : time 0.5453684329986572
batch 799 : time 0.5207595825195312
batch 899 : time 0.5639181137084961
batch 999 : time 0.4928727149963379
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:34:16 Epoch 10/10000, accuracy = 0.000,avg_train_cost = 21.986, lastbatch_err = 1.000, time = 562.465,lr=0.00013509
batch 1099 : time 0.29806995391845703
batch 1199 : time 0.5465962886810303
batch 1299 : time 0.5209214687347412
batch 1399 : time 0.5220553874969482
batch 1499 : time 0.5288834571838379
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:38:55 Epoch 10/10000, accuracy = 0.000,avg_train_cost = 22.001, lastbatch_err = 1.000, time = 841.648,lr=0.00013509
batch 1599 : time 0.5102872848510742
batch 1699 : time 0.5600950717926025
batch 1799 : time 0.5256361961364746
batch 1899 : time 0.5923306941986084
batch 1999 : time 0.570702314376831
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:43:36 Epoch 10/10000, accuracy = 0.000,avg_train_cost = 21.996, lastbatch_err = 1.000, time = 1122.291,lr=0.00012158
batch 99 : time 0.5324153900146484
batch 199 : time 0.5568771362304688
batch 299 : time 0.5323636531829834
batch 399 : time 0.5601093769073486
batch 499 : time 0.5102593898773193
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:48:15 Epoch 11/10000, accuracy = 0.000,avg_train_cost = 21.992, lastbatch_err = 1.000, time = 279.270,lr=0.00012158
batch 599 : time 0.5036165714263916
batch 699 : time 0.553675651550293
batch 799 : time 0.5642688274383545
batch 899 : time 0.579056978225708
batch 999 : time 0.5125880241394043
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:52:56 Epoch 11/10000, accuracy = 0.000,avg_train_cost = 22.005, lastbatch_err = 1.000, time = 560.439,lr=0.00010942
batch 1099 : time 0.5650572776794434
batch 1199 : time 0.6084933280944824
batch 1299 : time 0.5088460445404053
batch 1399 : time 0.5710525512695312
batch 1499 : time 0.5530433654785156
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 14:57:36 Epoch 11/10000, accuracy = 0.000,avg_train_cost = 21.988, lastbatch_err = 1.000, time = 840.295,lr=0.00010942
batch 1599 : time 0.5137732028961182
batch 1699 : time 0.48453545570373535
batch 1799 : time 0.5791811943054199
batch 1899 : time 0.49793410301208496
batch 1999 : time 0.4901137351989746
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:2:18 Epoch 11/10000, accuracy = 0.000,avg_train_cost = 21.996, lastbatch_err = 1.000, time = 1122.306,lr=0.00009848
batch 99 : time 0.5453011989593506
batch 199 : time 0.5557887554168701
batch 299 : time 0.5033202171325684
batch 399 : time 0.5272727012634277
batch 499 : time 0.29446983337402344
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:6:57 Epoch 12/10000, accuracy = 0.000,avg_train_cost = 22.012, lastbatch_err = 1.000, time = 278.645,lr=0.00009848
batch 599 : time 0.5469722747802734
batch 699 : time 0.5427858829498291
batch 799 : time 0.5444307327270508
batch 899 : time 0.5797250270843506
batch 999 : time 0.5354714393615723
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:11:39 Epoch 12/10000, accuracy = 0.000,avg_train_cost = 22.002, lastbatch_err = 1.000, time = 561.387,lr=0.00008863
batch 1099 : time 0.5529496669769287
batch 1199 : time 0.5243494510650635
batch 1299 : time 0.5034470558166504
batch 1399 : time 0.5614449977874756
batch 1499 : time 0.5350401401519775
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:16:21 Epoch 12/10000, accuracy = 0.000,avg_train_cost = 21.998, lastbatch_err = 1.000, time = 842.727,lr=0.00008863
batch 1599 : time 0.29911303520202637
batch 1699 : time 0.4830358028411865
batch 1799 : time 0.48929786682128906
batch 1899 : time 0.5277261734008789
batch 1999 : time 0.5098769664764404
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:20:59 Epoch 12/10000, accuracy = 0.000,avg_train_cost = 21.995, lastbatch_err = 1.000, time = 1121.015,lr=0.00007977
batch 99 : time 0.4919455051422119
batch 199 : time 0.5530796051025391
batch 299 : time 0.5038793087005615
batch 399 : time 0.5662229061126709
batch 499 : time 0.5983355045318604
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:25:40 Epoch 13/10000, accuracy = 0.000,avg_train_cost = 22.001, lastbatch_err = 1.000, time = 281.062,lr=0.00007977
batch 599 : time 0.47821569442749023
batch 699 : time 0.5612974166870117
batch 799 : time 0.30598950386047363
batch 899 : time 0.28247666358947754
batch 999 : time 0.27941036224365234
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:29:16 Epoch 13/10000, accuracy = 0.000,avg_train_cost = 22.009, lastbatch_err = 1.000, time = 496.577,lr=0.00007179
batch 1099 : time 0.2814035415649414
batch 1199 : time 0.29802608489990234
batch 1299 : time 0.2817678451538086
batch 1399 : time 0.28246188163757324
batch 1499 : time 0.28073644638061523
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:31:43 Epoch 13/10000, accuracy = 0.000,avg_train_cost = 22.002, lastbatch_err = 1.000, time = 644.295,lr=0.00007179
batch 1599 : time 0.2796447277069092
batch 1699 : time 0.281890869140625
batch 1799 : time 0.2820749282836914
batch 1899 : time 0.2975618839263916
batch 1999 : time 0.2808191776275635
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:34:11 Epoch 13/10000, accuracy = 0.000,avg_train_cost = 21.995, lastbatch_err = 1.000, time = 792.010,lr=0.00006461
batch 99 : time 0.27884960174560547
batch 199 : time 0.2974984645843506
batch 299 : time 0.28073859214782715
batch 399 : time 0.2985513210296631
batch 499 : time 0.295806884765625
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:36:41 Epoch 14/10000, accuracy = 0.000,avg_train_cost = 22.009, lastbatch_err = 1.000, time = 149.759,lr=0.00006461
batch 599 : time 0.28148460388183594
batch 699 : time 0.2788689136505127
batch 799 : time 0.2829155921936035
batch 899 : time 0.28278160095214844
batch 999 : time 0.28097963333129883
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:39:9 Epoch 14/10000, accuracy = 0.000,avg_train_cost = 21.993, lastbatch_err = 1.000, time = 297.843,lr=0.00005815
batch 1099 : time 0.28127574920654297
batch 1199 : time 0.27934741973876953
batch 1299 : time 0.40740299224853516
batch 1399 : time 0.4032611846923828
batch 1499 : time 0.3961489200592041
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:42:3 Epoch 14/10000, accuracy = 0.000,avg_train_cost = 21.989, lastbatch_err = 1.000, time = 472.451,lr=0.00005815
batch 1599 : time 0.2797508239746094
batch 1699 : time 0.2807896137237549
batch 1799 : time 0.2819061279296875
batch 1899 : time 0.2823021411895752
batch 1999 : time 0.2824134826660156
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:44:36 Epoch 14/10000, accuracy = 0.000,avg_train_cost = 21.994, lastbatch_err = 1.000, time = 624.979,lr=0.00005233
batch 99 : time 0.282733678817749
batch 199 : time 0.2799217700958252
batch 299 : time 0.2830193042755127
batch 399 : time 0.2804074287414551
batch 499 : time 0.2799196243286133
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:47:2 Epoch 15/10000, accuracy = 0.000,avg_train_cost = 22.008, lastbatch_err = 1.000, time = 145.971,lr=0.00005233
batch 599 : time 0.28013038635253906
batch 699 : time 0.2994232177734375
batch 799 : time 0.2812929153442383
batch 899 : time 0.2804069519042969
batch 999 : time 0.2804386615753174
seq 0: origin: [12, 6, 37, 60] decoded:[]
seq 1: origin: [52, 53, 36, 27, 37, 50] decoded:[]
seq 2: origin: [27, 4, 55, 32, 52] decoded:[]
seq 3: origin: [28, 44, 32, 43, 28, 46] decoded:[]
seq 4: origin: [53, 12, 30, 27] decoded:[]
seq 5: origin: [15, 43, 56, 3, 49] decoded:[]
seq 6: origin: [19, 21, 8, 38, 25, 45] decoded:[]
seq 7: origin: [26, 54, 57, 4] decoded:[]
seq 8: origin: [1, 31, 16, 46, 15, 20] decoded:[]
seq 9: origin: [61, 7, 20, 17, 40, 10] decoded:[]
7/31 15:49:30 Epoch 15/10000, accuracy = 0.000,avg_train_cost = 21.993, lastbatch_err = 1.000, time = 293.967,lr=0.00004710
batch 1099 : time 0.2836949825286865
batch 1199 : time 0.28272485733032227
batch 1299 : time 0.2828376293182373
^CTraceback (most recent call last):
File "lstm_ocr.py", line 203, in <module>
train(train_dir='../train',val_dir='../val')
File "lstm_ocr.py", line 168, in train
summary_str, batch_cost,step,_ = sess.run([g.merged_summay,g.cost,g.global_step,g.optimizer],feed)
File "/home/sabse/Tensorflow_V/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 789, in run
run_metadata_ptr)
File "/home/sabse/Tensorflow_V/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 997, in _run
feed_dict_string, options, run_metadata)
File "/home/sabse/Tensorflow_V/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1132, in _do_run
target_list, options, run_metadata)
File "/home/sabse/Tensorflow_V/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1139, in _do_call
return fn(*args)
File "/home/sabse/Tensorflow_V/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1121, in _run_fn
status, run_metadata)
KeyboardInterrupt
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