# 第一个项目

**Repository Path**: coddingrambo/firstproject_By_rambo

## Basic Information

- **Project Name**: 第一个项目
- **Description**: 第一个项目
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2017-12-11
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

quiz-w7-1
这个作业就是练习tinymind的使用和调参，我跑了5个小时，跑出合格的成绩，url为https://www.tinymind.com/executions/bsxcm9t7
```
################    train    ################
WARNING:tensorflow:From ./train_image_classifier.py:466: softmax_cross_entropy (from tensorflow.contrib.losses.python.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.softmax_cross_entropy instead. Note that the order of the logits and labels arguments has been changed.
WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow/contrib/losses/python/losses/loss_ops.py:398: compute_weighted_loss (from tensorflow.contrib.losses.python.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.compute_weighted_loss instead.
WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow/contrib/losses/python/losses/loss_ops.py:151: add_arg_scope..func_with_args (from tensorflow.contrib.framework.python.ops.arg_scope) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.add_loss instead.
WARNING:tensorflow:From ./train_image_classifier.py:468: softmax_cross_entropy (from tensorflow.contrib.losses.python.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.softmax_cross_entropy instead. Note that the order of the logits and labels arguments has been changed.
WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow/contrib/losses/python/losses/loss_ops.py:398: compute_weighted_loss (from tensorflow.contrib.losses.python.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.compute_weighted_loss instead.
WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow/contrib/losses/python/losses/loss_ops.py:151: add_arg_scope..func_with_args (from tensorflow.contrib.framework.python.ops.arg_scope) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.add_loss instead.
INFO:tensorflow:Summary name /clone_loss is illegal; using clone_loss instead.
INFO:tensorflow:Ignoring --checkpoint_path because a checkpoint already exists in /output/ckpt
2018-01-05 06:47:31.320551: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:893] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-01-05 06:47:31.320933: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 0 with properties:
name: Tesla K80
major: 3 minor: 7 memoryClockRate (GHz) 0.8235
pciBusID 0000:00:04.0
Total memory: 11.17GiB
Free memory: 11.09GiB
2018-01-05 06:47:31.320979: I tensorflow/core/common_runtime/gpu/gpu_device.cc:976] DMA: 0
2018-01-05 06:47:31.321000: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 0:   Y
2018-01-05 06:47:31.321021: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id: 0000:00:04.0)
INFO:tensorflow:Restoring parameters from /output/ckpt/model.ckpt-4686
2018-01-05 06:47:32.643302: I tensorflow/core/common_runtime/simple_placer.cc:697] Ignoring device specification /device:GPU:0 for node 'fifo_queue_Dequeue' because the input edge from 'prefetch_queue/fifo_queue' is a reference connection and already has a device field set to /device:CPU:0
INFO:tensorflow:Starting Session.
INFO:tensorflow:Saving checkpoint to path /output/ckpt/model.ckpt
INFO:tensorflow:Starting Queues.
INFO:tensorflow:global_step/sec: 0
INFO:tensorflow:Recording summary at step 4686.
INFO:tensorflow:global step 4690: loss = 3.1112 (2.376 sec/step)
INFO:tensorflow:global step 4700: loss = 3.1132 (2.396 sec/step)
INFO:tensorflow:global step 4710: loss = 2.9982 (2.406 sec/step)
INFO:tensorflow:global step 4720: loss = 3.4499 (2.386 sec/step)
INFO:tensorflow:global step 4730: loss = 3.5325 (2.390 sec/step)
INFO:tensorflow:global step 4740: loss = 2.9374 (2.403 sec/step)
INFO:tensorflow:global step 4750: loss = 2.1845 (2.391 sec/step)
INFO:tensorflow:global step 4760: loss = 3.3035 (2.401 sec/step)
INFO:tensorflow:global step 4770: loss = 2.5631 (2.441 sec/step)
INFO:tensorflow:global step 4780: loss = 2.2822 (2.394 sec/step)
INFO:tensorflow:global step 4790: loss = 2.7615 (2.401 sec/step)
INFO:tensorflow:global step 4800: loss = 2.5915 (2.420 sec/step)
INFO:tensorflow:global step 4810: loss = 2.9624 (2.397 sec/step)
INFO:tensorflow:global step 4820: loss = 2.4259 (2.393 sec/step)
INFO:tensorflow:global step 4830: loss = 3.2103 (2.417 sec/step)
INFO:tensorflow:global step 4840: loss = 2.8340 (2.401 sec/step)
INFO:tensorflow:global step 4850: loss = 2.6614 (2.388 sec/step)
INFO:tensorflow:global step 4860: loss = 3.6545 (2.397 sec/step)
INFO:tensorflow:global step 4870: loss = 3.3859 (2.388 sec/step)
INFO:tensorflow:global step 4880: loss = 3.2430 (2.391 sec/step)
INFO:tensorflow:global step 4890: loss = 2.3709 (2.394 sec/step)
INFO:tensorflow:global step 4900: loss = 3.5515 (2.404 sec/step)
INFO:tensorflow:global step 4910: loss = 3.3506 (2.396 sec/step)
INFO:tensorflow:global step 4920: loss = 2.1371 (2.391 sec/step)
INFO:tensorflow:global step 4930: loss = 2.8657 (2.393 sec/step)
INFO:tensorflow:Saving checkpoint to path /output/ckpt/model.ckpt
INFO:tensorflow:global_step/sec: 0.408415
INFO:tensorflow:Recording summary at step 4932.
INFO:tensorflow:global step 4940: loss = 2.0017 (2.395 sec/step)
INFO:tensorflow:global step 4950: loss = 3.2722 (2.392 sec/step)
INFO:tensorflow:global step 4960: loss = 2.9048 (2.387 sec/step)
INFO:tensorflow:global step 4970: loss = 3.7009 (2.391 sec/step)
INFO:tensorflow:global step 4980: loss = 2.3734 (2.405 sec/step)
INFO:tensorflow:global step 4990: loss = 2.4725 (2.392 sec/step)
INFO:tensorflow:global step 5000: loss = 2.7355 (2.401 sec/step)
INFO:tensorflow:global step 5010: loss = 2.4216 (2.401 sec/step)
INFO:tensorflow:global step 5020: loss = 2.6872 (2.496 sec/step)
INFO:tensorflow:global step 5030: loss = 2.4282 (2.394 sec/step)
INFO:tensorflow:global step 5040: loss = 2.9140 (2.399 sec/step)
INFO:tensorflow:global step 5050: loss = 2.1972 (2.397 sec/step)
INFO:tensorflow:global step 5060: loss = 2.3295 (2.405 sec/step)
INFO:tensorflow:global step 5070: loss = 2.2893 (2.396 sec/step)
INFO:tensorflow:global step 5080: loss = 2.7018 (2.401 sec/step)
INFO:tensorflow:global step 5090: loss = 3.2648 (2.406 sec/step)
INFO:tensorflow:global step 5100: loss = 2.7726 (2.398 sec/step)
INFO:tensorflow:global step 5110: loss = 2.6239 (2.418 sec/step)
INFO:tensorflow:global step 5120: loss = 1.9202 (2.405 sec/step)
INFO:tensorflow:global step 5130: loss = 2.7495 (2.392 sec/step)
INFO:tensorflow:global step 5140: loss = 2.6069 (2.398 sec/step)
INFO:tensorflow:global step 5150: loss = 2.5468 (2.391 sec/step)
INFO:tensorflow:global step 5160: loss = 2.9419 (2.395 sec/step)
INFO:tensorflow:global step 5170: loss = 2.6186 (2.398 sec/step)
INFO:tensorflow:Saving checkpoint to path /output/ckpt/model.ckpt
INFO:tensorflow:global_step/sec: 0.411766
INFO:tensorflow:Recording summary at step 5179.
INFO:tensorflow:global step 5180: loss = 2.9749 (2.601 sec/step)
INFO:tensorflow:global step 5190: loss = 2.2522 (2.394 sec/step)
INFO:tensorflow:global step 5200: loss = 2.2844 (2.388 sec/step)
INFO:tensorflow:global step 5210: loss = 3.2972 (2.419 sec/step)
INFO:tensorflow:global step 5220: loss = 2.0665 (2.392 sec/step)
INFO:tensorflow:global step 5230: loss = 2.6228 (2.381 sec/step)
INFO:tensorflow:global step 5240: loss = 2.1191 (2.392 sec/step)
INFO:tensorflow:global step 5250: loss = 2.1143 (2.389 sec/step)
INFO:tensorflow:global step 5260: loss = 2.8812 (2.390 sec/step)
INFO:tensorflow:global step 5270: loss = 3.0556 (2.400 sec/step)
INFO:tensorflow:global step 5280: loss = 2.6139 (2.392 sec/step)
INFO:tensorflow:global step 5290: loss = 2.8194 (2.397 sec/step)
INFO:tensorflow:global step 5300: loss = 2.2460 (2.393 sec/step)
INFO:tensorflow:global step 5310: loss = 2.6609 (2.395 sec/step)
INFO:tensorflow:global step 5320: loss = 2.3437 (2.406 sec/step)
INFO:tensorflow:global step 5330: loss = 2.9560 (2.394 sec/step)
INFO:tensorflow:global step 5340: loss = 2.1242 (2.392 sec/step)
INFO:tensorflow:global step 5350: loss = 3.9512 (2.399 sec/step)
INFO:tensorflow:global step 5360: loss = 2.8256 (2.401 sec/step)
INFO:tensorflow:global step 5370: loss = 2.7896 (2.403 sec/step)
INFO:tensorflow:global step 5380: loss = 2.2036 (2.394 sec/step)
INFO:tensorflow:global step 5390: loss = 2.5110 (2.393 sec/step)
INFO:tensorflow:global step 5400: loss = 2.4957 (2.393 sec/step)
INFO:tensorflow:global step 5410: loss = 2.8770 (2.409 sec/step)
INFO:tensorflow:global step 5420: loss = 1.9147 (2.407 sec/step)
INFO:tensorflow:Saving checkpoint to path /output/ckpt/model.ckpt
INFO:tensorflow:global_step/sec: 0.411757
INFO:tensorflow:Recording summary at step 5427.
INFO:tensorflow:global step 5430: loss = 2.3015 (2.388 sec/step)
INFO:tensorflow:global step 5440: loss = 2.5508 (2.397 sec/step)
INFO:tensorflow:global step 5450: loss = 2.7465 (2.395 sec/step)
INFO:tensorflow:global step 5460: loss = 2.7030 (2.393 sec/step)
INFO:tensorflow:global step 5470: loss = 2.7566 (2.393 sec/step)
INFO:tensorflow:global step 5480: loss = 2.3105 (2.390 sec/step)
INFO:tensorflow:global step 5490: loss = 2.6593 (2.401 sec/step)
INFO:tensorflow:global step 5500: loss = 2.5075 (2.403 sec/step)
INFO:tensorflow:global step 5510: loss = 2.3550 (2.398 sec/step)
INFO:tensorflow:global step 5520: loss = 2.3984 (2.397 sec/step)
INFO:tensorflow:global step 5530: loss = 3.1847 (2.407 sec/step)
INFO:tensorflow:global step 5540: loss = 2.2635 (2.405 sec/step)
INFO:tensorflow:global step 5550: loss = 2.2895 (2.392 sec/step)
INFO:tensorflow:global step 5560: loss = 2.0280 (2.431 sec/step)
INFO:tensorflow:global step 5570: loss = 2.2978 (2.493 sec/step)
INFO:tensorflow:global step 5580: loss = 3.4545 (2.392 sec/step)
INFO:tensorflow:global step 5590: loss = 2.6257 (2.399 sec/step)
INFO:tensorflow:global step 5600: loss = 2.2260 (2.404 sec/step)
INFO:tensorflow:global step 5610: loss = 1.6831 (2.404 sec/step)
INFO:tensorflow:global step 5620: loss = 2.5651 (2.408 sec/step)
INFO:tensorflow:global step 5630: loss = 2.6901 (2.397 sec/step)
INFO:tensorflow:global step 5640: loss = 2.7967 (2.403 sec/step)
INFO:tensorflow:global step 5650: loss = 2.2867 (2.396 sec/step)
INFO:tensorflow:global step 5660: loss = 2.3954 (2.434 sec/step)
INFO:tensorflow:global step 5670: loss = 2.5220 (2.399 sec/step)
INFO:tensorflow:Saving checkpoint to path /output/ckpt/model.ckpt
INFO:tensorflow:global_step/sec: 0.413057
INFO:tensorflow:Recording summary at step 5674.
INFO:tensorflow:global step 5680: loss = 2.2838 (2.395 sec/step)
INFO:tensorflow:global step 5690: loss = 2.8243 (2.388 sec/step)
INFO:tensorflow:global step 5700: loss = 2.7328 (2.401 sec/step)
INFO:tensorflow:global step 5710: loss = 2.6070 (2.392 sec/step)
INFO:tensorflow:global step 5720: loss = 3.0478 (2.388 sec/step)
INFO:tensorflow:global step 5730: loss = 2.0074 (2.388 sec/step)
INFO:tensorflow:global step 5740: loss = 2.8607 (2.399 sec/step)
INFO:tensorflow:global step 5750: loss = 2.5956 (2.400 sec/step)
INFO:tensorflow:global step 5760: loss = 2.9268 (2.388 sec/step)
INFO:tensorflow:global step 5770: loss = 2.1966 (2.398 sec/step)
INFO:tensorflow:global step 5780: loss = 2.2459 (2.403 sec/step)
INFO:tensorflow:global step 5790: loss = 2.8495 (2.392 sec/step)
INFO:tensorflow:global step 5800: loss = 2.1396 (2.405 sec/step)
INFO:tensorflow:global step 5810: loss = 3.2857 (2.400 sec/step)
INFO:tensorflow:global step 5820: loss = 3.0922 (2.392 sec/step)
INFO:tensorflow:global step 5830: loss = 2.4236 (2.389 sec/step)
INFO:tensorflow:global step 5840: loss = 2.7200 (2.388 sec/step)
INFO:tensorflow:global step 5850: loss = 2.5180 (2.396 sec/step)
INFO:tensorflow:global step 5860: loss = 3.3647 (2.392 sec/step)
INFO:tensorflow:global step 5870: loss = 3.1894 (2.409 sec/step)
INFO:tensorflow:global step 5880: loss = 2.5196 (2.404 sec/step)
INFO:tensorflow:global step 5890: loss = 2.6158 (2.391 sec/step)
INFO:tensorflow:global step 5900: loss = 2.6805 (2.451 sec/step)
INFO:tensorflow:global step 5910: loss = 2.7535 (2.401 sec/step)
INFO:tensorflow:global step 5920: loss = 3.2289 (2.423 sec/step)
INFO:tensorflow:Saving checkpoint to path /output/ckpt/model.ckpt
INFO:tensorflow:global_step/sec: 0.413629
INFO:tensorflow:Recording summary at step 5922.
INFO:tensorflow:global step 5930: loss = 3.5187 (2.439 sec/step)
INFO:tensorflow:global step 5940: loss = 2.6015 (2.406 sec/step)
INFO:tensorflow:global step 5950: loss = 2.3221 (2.391 sec/step)
INFO:tensorflow:global step 5960: loss = 2.2241 (2.392 sec/step)
INFO:tensorflow:global step 5970: loss = 2.4715 (2.418 sec/step)
INFO:tensorflow:global step 5980: loss = 2.5212 (2.402 sec/step)
INFO:tensorflow:global step 5990: loss = 2.6976 (2.404 sec/step)
INFO:tensorflow:global step 6000: loss = 2.3647 (2.401 sec/step)
INFO:tensorflow:global step 6010: loss = 2.5075 (2.398 sec/step)
INFO:tensorflow:global step 6020: loss = 2.6849 (2.415 sec/step)
INFO:tensorflow:global step 6030: loss = 2.6169 (2.389 sec/step)
INFO:tensorflow:global step 6040: loss = 2.3093 (2.398 sec/step)
INFO:tensorflow:global step 6050: loss = 2.7077 (2.405 sec/step)
INFO:tensorflow:global step 6060: loss = 2.8353 (2.410 sec/step)
INFO:tensorflow:global step 6070: loss = 2.4411 (2.400 sec/step)
INFO:tensorflow:global step 6080: loss = 2.3922 (2.406 sec/step)
INFO:tensorflow:global step 6090: loss = 2.8870 (2.400 sec/step)
INFO:tensorflow:global step 6100: loss = 2.7416 (2.401 sec/step)
INFO:tensorflow:global step 6110: loss = 2.2777 (2.399 sec/step)
INFO:tensorflow:global step 6120: loss = 2.4086 (2.392 sec/step)
INFO:tensorflow:global step 6130: loss = 2.1348 (2.389 sec/step)
INFO:tensorflow:global step 6140: loss = 3.1719 (2.398 sec/step)
INFO:tensorflow:global step 6150: loss = 2.8175 (2.403 sec/step)
INFO:tensorflow:global step 6160: loss = 2.5192 (2.464 sec/step)
INFO:tensorflow:Saving checkpoint to path /output/ckpt/model.ckpt
INFO:tensorflow:global_step/sec: 0.411721
INFO:tensorflow:global step 6170: loss = 1.9697 (3.611 sec/step)
INFO:tensorflow:Recording summary at step 6170.
INFO:tensorflow:global step 6180: loss = 2.2246 (2.389 sec/step)
INFO:tensorflow:global step 6190: loss = 2.3379 (2.394 sec/step)
INFO:tensorflow:global step 6200: loss = 2.7674 (2.547 sec/step)
INFO:tensorflow:global step 6210: loss = 2.1972 (2.402 sec/step)
INFO:tensorflow:global step 6220: loss = 3.3510 (2.415 sec/step)
INFO:tensorflow:global step 6230: loss = 2.4608 (2.395 sec/step)
INFO:tensorflow:global step 6240: loss = 2.5243 (2.401 sec/step)
INFO:tensorflow:Stopping Training.
INFO:tensorflow:Finished training! Saving model to disk.
################    eval    ################
INFO:tensorflow:Scale of 0 disables regularizer.
WARNING:tensorflow:From ./eval_image_classifier.py:157: streaming_recall_at_k (from tensorflow.contrib.metrics.python.ops.metric_ops) is deprecated and will be removed after 2016-11-08.
Instructions for updating:
Please use `streaming_sparse_recall_at_k`, and reshape labels from [batch_size] to [batch_size, 1].
INFO:tensorflow:Evaluating /output/ckpt/model.ckpt-6248
INFO:tensorflow:Starting evaluation at 2018-01-05-07:51:16
2018-01-05 07:51:17.624274: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:893] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-01-05 07:51:17.624633: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 0 with properties:
name: Tesla K80
major: 3 minor: 7 memoryClockRate (GHz) 0.8235
pciBusID 0000:00:04.0
Total memory: 11.17GiB
Free memory: 11.09GiB
2018-01-05 07:51:17.624667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:976] DMA: 0
2018-01-05 07:51:17.624685: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 0:   Y
2018-01-05 07:51:17.624702: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id: 0000:00:04.0)
INFO:tensorflow:Restoring parameters from /output/ckpt/model.ckpt-6248
INFO:tensorflow:Evaluation [1/128]
INFO:tensorflow:Evaluation [2/128]
INFO:tensorflow:Evaluation [3/128]
INFO:tensorflow:Evaluation [4/128]
INFO:tensorflow:Evaluation [5/128]
INFO:tensorflow:Evaluation [6/128]
INFO:tensorflow:Evaluation [7/128]
INFO:tensorflow:Evaluation [8/128]
INFO:tensorflow:Evaluation [9/128]
INFO:tensorflow:Evaluation [10/128]
INFO:tensorflow:Evaluation [11/128]
INFO:tensorflow:Evaluation [12/128]
INFO:tensorflow:Evaluation [13/128]
INFO:tensorflow:Evaluation [14/128]
INFO:tensorflow:Evaluation [15/128]
INFO:tensorflow:Evaluation [16/128]
INFO:tensorflow:Evaluation [17/128]
INFO:tensorflow:Evaluation [18/128]
INFO:tensorflow:Evaluation [19/128]
INFO:tensorflow:Evaluation [20/128]
INFO:tensorflow:Evaluation [21/128]
INFO:tensorflow:Evaluation [22/128]
INFO:tensorflow:Evaluation [23/128]
INFO:tensorflow:Evaluation [24/128]
INFO:tensorflow:Evaluation [25/128]
INFO:tensorflow:Evaluation [26/128]
INFO:tensorflow:Evaluation [27/128]
INFO:tensorflow:Evaluation [28/128]
INFO:tensorflow:Evaluation [29/128]
INFO:tensorflow:Evaluation [30/128]
INFO:tensorflow:Evaluation [31/128]
INFO:tensorflow:Evaluation [32/128]
INFO:tensorflow:Evaluation [33/128]
INFO:tensorflow:Evaluation [34/128]
INFO:tensorflow:Evaluation [35/128]
INFO:tensorflow:Evaluation [36/128]
INFO:tensorflow:Evaluation [37/128]
INFO:tensorflow:Evaluation [38/128]
INFO:tensorflow:Evaluation [39/128]
INFO:tensorflow:Evaluation [40/128]
INFO:tensorflow:Evaluation [41/128]
INFO:tensorflow:Evaluation [42/128]
INFO:tensorflow:Evaluation [43/128]
INFO:tensorflow:Evaluation [44/128]
INFO:tensorflow:Evaluation [45/128]
INFO:tensorflow:Evaluation [46/128]
INFO:tensorflow:Evaluation [47/128]
INFO:tensorflow:Evaluation [48/128]
INFO:tensorflow:Evaluation [49/128]
INFO:tensorflow:Evaluation [50/128]
INFO:tensorflow:Evaluation [51/128]
INFO:tensorflow:Evaluation [52/128]
INFO:tensorflow:Evaluation [53/128]
INFO:tensorflow:Evaluation [54/128]
INFO:tensorflow:Evaluation [55/128]
INFO:tensorflow:Evaluation [56/128]
INFO:tensorflow:Evaluation [57/128]
INFO:tensorflow:Evaluation [58/128]
INFO:tensorflow:Evaluation [59/128]
INFO:tensorflow:Evaluation [60/128]
INFO:tensorflow:Evaluation [61/128]
INFO:tensorflow:Evaluation [62/128]
INFO:tensorflow:Evaluation [63/128]
INFO:tensorflow:Evaluation [64/128]
INFO:tensorflow:Evaluation [65/128]
INFO:tensorflow:Evaluation [66/128]
INFO:tensorflow:Evaluation [67/128]
INFO:tensorflow:Evaluation [68/128]
INFO:tensorflow:Evaluation [69/128]
INFO:tensorflow:Evaluation [70/128]
INFO:tensorflow:Evaluation [71/128]
INFO:tensorflow:Evaluation [72/128]
INFO:tensorflow:Evaluation [73/128]
INFO:tensorflow:Evaluation [74/128]
INFO:tensorflow:Evaluation [75/128]
INFO:tensorflow:Evaluation [76/128]
INFO:tensorflow:Evaluation [77/128]
INFO:tensorflow:Evaluation [78/128]
INFO:tensorflow:Evaluation [79/128]
INFO:tensorflow:Evaluation [80/128]
INFO:tensorflow:Evaluation [81/128]
INFO:tensorflow:Evaluation [82/128]
INFO:tensorflow:Evaluation [83/128]
INFO:tensorflow:Evaluation [84/128]
INFO:tensorflow:Evaluation [85/128]
INFO:tensorflow:Evaluation [86/128]
INFO:tensorflow:Evaluation [87/128]
INFO:tensorflow:Evaluation [88/128]
INFO:tensorflow:Evaluation [89/128]
INFO:tensorflow:Evaluation [90/128]
INFO:tensorflow:Evaluation [91/128]
INFO:tensorflow:Evaluation [92/128]
INFO:tensorflow:Evaluation [93/128]
INFO:tensorflow:Evaluation [94/128]
INFO:tensorflow:Evaluation [95/128]
INFO:tensorflow:Evaluation [96/128]
INFO:tensorflow:Evaluation [97/128]
INFO:tensorflow:Evaluation [98/128]
INFO:tensorflow:Evaluation [99/128]
INFO:tensorflow:Evaluation [100/128]
INFO:tensorflow:Evaluation [101/128]
INFO:tensorflow:Evaluation [102/128]
INFO:tensorflow:Evaluation [103/128]
INFO:tensorflow:Evaluation [104/128]
INFO:tensorflow:Evaluation [105/128]
INFO:tensorflow:Evaluation [106/128]
INFO:tensorflow:Evaluation [107/128]
INFO:tensorflow:Evaluation [108/128]
INFO:tensorflow:Evaluation [109/128]
INFO:tensorflow:Evaluation [110/128]
INFO:tensorflow:Evaluation [111/128]
INFO:tensorflow:Evaluation [112/128]
INFO:tensorflow:Evaluation [113/128]
INFO:tensorflow:Evaluation [114/128]
INFO:tensorflow:Evaluation [115/128]
INFO:tensorflow:Evaluation [116/128]
INFO:tensorflow:Evaluation [117/128]
INFO:tensorflow:Evaluation [118/128]
INFO:tensorflow:Evaluation [119/128]
INFO:tensorflow:Evaluation [120/128]
INFO:tensorflow:Evaluation [121/128]
INFO:tensorflow:Evaluation [122/128]
INFO:tensorflow:Evaluation [123/128]
INFO:tensorflow:Evaluation [124/128]
INFO:tensorflow:Evaluation [125/128]
INFO:tensorflow:Evaluation [126/128]
INFO:tensorflow:Evaluation [127/128]
INFO:tensorflow:Evaluation [128/128]
2018-01-05 07:53:08.176080: I tensorflow/core/kernels/logging_ops.cc:79] eval/Accuracy[0.65185547]
2018-01-05 07:53:08.176244: I tensorflow/core/kernels/logging_ops.cc:79] eval/Recall_5[0.84521484]
INFO:tensorflow:Finished evaluation at 2018-01-05-07:53:08
```