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  1. [@nmyjs-202-75 horovod]$ sh run_in.sh
  2. Extracting MNIST-data-10/train-images-idx3-ubyte.gz
  3. Extracting MNIST-data-12/train-images-idx3-ubyte.gz
  4. Extracting MNIST-data-9/train-images-idx3-ubyte.gz
  5. Extracting MNIST-data-14/train-images-idx3-ubyte.gz
  6. Extracting MNIST-data-8/train-images-idx3-ubyte.gz
  7. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  8.   from ._conv import register_converters as _register_converters
  9. WARNING:tensorflow:From examples/tensorflow_mnist.py:70: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  10. Instructions for updating:
  11. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  12. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  13.   from ._conv import register_converters as _register_converters
  14. WARNING:tensorflow:From examples/tensorflow_mnist.py:70: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  15. Instructions for updating:
  16. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  17. Extracting MNIST-data-13/train-images-idx3-ubyte.gz
  18. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  19.   from ._conv import register_converters as _register_converters
  20. WARNING:tensorflow:From examples/tensorflow_mnist.py:70: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  21. Instructions for updating:
  22. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  23. Extracting MNIST-data-11/train-images-idx3-ubyte.gz
  24. Extracting MNIST-data-15/train-images-idx3-ubyte.gz
  25. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  26.   from ._conv import register_converters as _register_converters
  27. WARNING:tensorflow:From examples/tensorflow_mnist.py:70: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  28. Instructions for updating:
  29. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  30. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  31.   from ._conv import register_converters as _register_converters
  32. WARNING:tensorflow:From examples/tensorflow_mnist.py:70: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  33. Instructions for updating:
  34. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  35. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  36.   from ._conv import register_converters as _register_converters
  37. WARNING:tensorflow:From examples/tensorflow_mnist.py:70: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  38. Instructions for updating:
  39. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  40. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  41.   from ._conv import register_converters as _register_converters
  42. WARNING:tensorflow:From examples/tensorflow_mnist.py:70: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  43. Instructions for updating:
  44. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  45. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  46.   from ._conv import register_converters as _register_converters
  47. WARNING:tensorflow:From examples/tensorflow_mnist.py:70: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  48. Instructions for updating:
  49. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  50. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
  51. Instructions for updating:
  52. Please write your own downloading logic.
  53. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
  54. Instructions for updating:
  55. Please write your own downloading logic.
  56. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
  57. Instructions for updating:
  58. Please write your own downloading logic.
  59. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  60. Instructions for updating:
  61. Please use tf.data to implement this functionality.
  62. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  63. Instructions for updating:
  64. Please use tf.data to implement this functionality.
  65. Extracting MNIST-data-5/train-images-idx3-ubyte.gz
  66. Extracting MNIST-data-7/train-images-idx3-ubyte.gz
  67. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  68. Instructions for updating:
  69. Please use tf.data to implement this functionality.
  70. Extracting MNIST-data-2/train-images-idx3-ubyte.gz
  71. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
  72. Instructions for updating:
  73. Please write your own downloading logic.
  74. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
  75. Instructions for updating:
  76. Please write your own downloading logic.
  77. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  78. Instructions for updating:
  79. Please use tf.data to implement this functionality.
  80. Extracting MNIST-data-1/train-images-idx3-ubyte.gz
  81. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  82. Instructions for updating:
  83. Please use tf.data to implement this functionality.
  84. Extracting MNIST-data-0/train-images-idx3-ubyte.gz
  85. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
  86. Instructions for updating:
  87. Please write your own downloading logic.
  88. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  89. Instructions for updating:
  90. Please use tf.data to implement this functionality.
  91. Extracting MNIST-data-6/train-images-idx3-ubyte.gz
  92. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
  93. Instructions for updating:
  94. Please write your own downloading logic.
  95. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  96. Instructions for updating:
  97. Please use tf.data to implement this functionality.
  98. Extracting MNIST-data-4/train-images-idx3-ubyte.gz
  99. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
  100. Instructions for updating:
  101. Please write your own downloading logic.
  102. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  103. Instructions for updating:
  104. Please use tf.data to implement this functionality.
  105. Extracting MNIST-data-3/train-images-idx3-ubyte.gz
  106. Extracting MNIST-data-11/train-labels-idx1-ubyte.gz
  107. Extracting MNIST-data-15/train-labels-idx1-ubyte.gz
  108. Extracting MNIST-data-11/t10k-images-idx3-ubyte.gz
  109. Extracting MNIST-data-15/t10k-images-idx3-ubyte.gz
  110. Extracting MNIST-data-14/train-labels-idx1-ubyte.gz
  111. Extracting MNIST-data-9/train-labels-idx1-ubyte.gz
  112. Extracting MNIST-data-13/train-labels-idx1-ubyte.gz
  113. Extracting MNIST-data-14/t10k-images-idx3-ubyte.gz
  114. Extracting MNIST-data-9/t10k-images-idx3-ubyte.gz
  115. Extracting MNIST-data-10/train-labels-idx1-ubyte.gz
  116. Extracting MNIST-data-13/t10k-images-idx3-ubyte.gz
  117. Extracting MNIST-data-8/train-labels-idx1-ubyte.gz
  118. Extracting MNIST-data-12/train-labels-idx1-ubyte.gz
  119. Extracting MNIST-data-10/t10k-images-idx3-ubyte.gz
  120. Extracting MNIST-data-8/t10k-images-idx3-ubyte.gz
  121. Extracting MNIST-data-12/t10k-images-idx3-ubyte.gz
  122. Extracting MNIST-data-11/t10k-labels-idx1-ubyte.gz
  123. Extracting MNIST-data-15/t10k-labels-idx1-ubyte.gz
  124. Extracting MNIST-data-9/t10k-labels-idx1-ubyte.gz
  125. Extracting MNIST-data-10/t10k-labels-idx1-ubyte.gz
  126. Extracting MNIST-data-13/t10k-labels-idx1-ubyte.gz
  127. Extracting MNIST-data-14/t10k-labels-idx1-ubyte.gz
  128. Extracting MNIST-data-12/t10k-labels-idx1-ubyte.gz
  129. Extracting MNIST-data-8/t10k-labels-idx1-ubyte.gz
  130. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  131. Instructions for updating:
  132. Please use tf.data to implement this functionality.
  133. Extracting MNIST-data-2/train-labels-idx1-ubyte.gz
  134. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  135. Instructions for updating:
  136. Please use tf.data to implement this functionality.
  137. Extracting MNIST-data-5/train-labels-idx1-ubyte.gz
  138. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  139. Instructions for updating:
  140. Please use tf.data to implement this functionality.
  141. Extracting MNIST-data-7/train-labels-idx1-ubyte.gz
  142. Extracting MNIST-data-2/t10k-images-idx3-ubyte.gz
  143. Extracting MNIST-data-5/t10k-images-idx3-ubyte.gz
  144. Extracting MNIST-data-7/t10k-images-idx3-ubyte.gz
  145. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  146. Instructions for updating:
  147. Please use tf.data to implement this functionality.
  148. Extracting MNIST-data-1/train-labels-idx1-ubyte.gz
  149. Extracting MNIST-data-1/t10k-images-idx3-ubyte.gz
  150. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  151. Instructions for updating:
  152. Please use tf.data to implement this functionality.
  153. Extracting MNIST-data-6/train-labels-idx1-ubyte.gz
  154. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  155. Instructions for updating:
  156. Please use tf.data to implement this functionality.
  157. Extracting MNIST-data-0/train-labels-idx1-ubyte.gz
  158. Extracting MNIST-data-6/t10k-images-idx3-ubyte.gz
  159. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  160. Instructions for updating:
  161. Please use tf.data to implement this functionality.
  162. Extracting MNIST-data-3/train-labels-idx1-ubyte.gz
  163. Extracting MNIST-data-0/t10k-images-idx3-ubyte.gz
  164. Extracting MNIST-data-3/t10k-images-idx3-ubyte.gz
  165. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  166. Instructions for updating:
  167. Please use tf.data to implement this functionality.
  168. Extracting MNIST-data-4/train-labels-idx1-ubyte.gz
  169. Extracting MNIST-data-4/t10k-images-idx3-ubyte.gz
  170. Extracting MNIST-data-2/t10k-labels-idx1-ubyte.gz
  171. Extracting MNIST-data-5/t10k-labels-idx1-ubyte.gz
  172. Extracting MNIST-data-7/t10k-labels-idx1-ubyte.gz
  173. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  174. Instructions for updating:
  175. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  176. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  177. Instructions for updating:
  178. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  179. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  180. Instructions for updating:
  181. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  182. Extracting MNIST-data-1/t10k-labels-idx1-ubyte.gz
  183. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  184. Instructions for updating:
  185. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  186. Extracting MNIST-data-6/t10k-labels-idx1-ubyte.gz
  187. Extracting MNIST-data-3/t10k-labels-idx1-ubyte.gz
  188. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  189. Instructions for updating:
  190. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  191. Extracting MNIST-data-0/t10k-labels-idx1-ubyte.gz
  192. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  193. Instructions for updating:
  194. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  195. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  196. Instructions for updating:
  197. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  198. Extracting MNIST-data-4/t10k-labels-idx1-ubyte.gz
  199. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
  200. Instructions for updating:
  201. Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
  202. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  203.   from ._conv import register_converters as _register_converters
  204. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/losses/losses_impl.py:731: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
  205. Instructions for updating:
  206.  
  207. Future major versions of TensorFlow will allow gradients to flow
  208. into the labels input on backprop by default.
  209.  
  210. See tf.nn.softmax_cross_entropy_with_logits_v2.
  211.  
  212. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  213.   from ._conv import register_converters as _register_converters
  214. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/losses/losses_impl.py:731: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
  215. Instructions for updating:
  216.  
  217. Future major versions of TensorFlow will allow gradients to flow
  218. into the labels input on backprop by default.
  219.  
  220. See tf.nn.softmax_cross_entropy_with_logits_v2.
  221.  
  222. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  223.   from ._conv import register_converters as _register_converters
  224. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/losses/losses_impl.py:731: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
  225. Instructions for updating:
  226.  
  227. Future major versions of TensorFlow will allow gradients to flow
  228. into the labels input on backprop by default.
  229.  
  230. See tf.nn.softmax_cross_entropy_with_logits_v2.
  231.  
  232. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  233.   from ._conv import register_converters as _register_converters
  234. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/losses/losses_impl.py:731: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
  235. Instructions for updating:
  236.  
  237. Future major versions of TensorFlow will allow gradients to flow
  238. into the labels input on backprop by default.
  239.  
  240. See tf.nn.softmax_cross_entropy_with_logits_v2.
  241.  
  242. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  243.   from ._conv import register_converters as _register_converters
  244. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/losses/losses_impl.py:731: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
  245. Instructions for updating:
  246.  
  247. Future major versions of TensorFlow will allow gradients to flow
  248. into the labels input on backprop by default.
  249.  
  250. See tf.nn.softmax_cross_entropy_with_logits_v2.
  251.  
  252. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  253.   from ._conv import register_converters as _register_converters
  254. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/losses/losses_impl.py:731: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
  255. Instructions for updating:
  256.  
  257. Future major versions of TensorFlow will allow gradients to flow
  258. into the labels input on backprop by default.
  259.  
  260. See tf.nn.softmax_cross_entropy_with_logits_v2.
  261.  
  262. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  263.   from ._conv import register_converters as _register_converters
  264. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/losses/losses_impl.py:731: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
  265. Instructions for updating:
  266.  
  267. Future major versions of TensorFlow will allow gradients to flow
  268. into the labels input on backprop by default.
  269.  
  270. See tf.nn.softmax_cross_entropy_with_logits_v2.
  271.  
  272. /search/speech/yh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  273.   from ._conv import register_converters as _register_converters
  274. WARNING:tensorflow:From /search/speech/yh/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/losses/losses_impl.py:731: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
  275. Instructions for updating:
  276.  
  277. Future major versions of TensorFlow will allow gradients to flow
  278. into the labels input on backprop by default.
  279.  
  280. See tf.nn.softmax_cross_entropy_with_logits_v2.
  281.  
  282. INFO:tensorflow:Create CheckpointSaverHook.
  283. INFO:tensorflow:Graph was finalized.
  284. 2018-09-14 20:11:45.064200: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  285. INFO:tensorflow:Graph was finalized.
  286. 2018-09-14 20:11:45.069919: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  287. INFO:tensorflow:Graph was finalized.
  288. 2018-09-14 20:11:45.074269: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  289. INFO:tensorflow:Graph was finalized.
  290. 2018-09-14 20:11:45.118814: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  291. INFO:tensorflow:Graph was finalized.
  292. 2018-09-14 20:11:45.122529: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  293. INFO:tensorflow:Graph was finalized.
  294. 2018-09-14 20:11:45.151066: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  295. INFO:tensorflow:Graph was finalized.
  296. 2018-09-14 20:11:45.156102: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  297. INFO:tensorflow:Graph was finalized.
  298. 2018-09-14 20:11:45.149359: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  299. INFO:tensorflow:Graph was finalized.
  300. 2018-09-14 20:11:45.188463: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  301. INFO:tensorflow:Graph was finalized.
  302. 2018-09-14 20:11:45.200725: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  303. INFO:tensorflow:Graph was finalized.
  304. 2018-09-14 20:11:45.192287: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  305. INFO:tensorflow:Graph was finalized.
  306. 2018-09-14 20:11:45.203059: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  307. INFO:tensorflow:Graph was finalized.
  308. 2018-09-14 20:11:45.206109: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  309. INFO:tensorflow:Graph was finalized.
  310. 2018-09-14 20:11:45.215827: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  311. INFO:tensorflow:Graph was finalized.
  312. 2018-09-14 20:11:45.240374: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  313. INFO:tensorflow:Graph was finalized.
  314. 2018-09-14 20:11:45.242555: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  315. 2018-09-14 20:11:48.843354: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties:
  316. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  317. pciBusID: 0000:0d:00.0
  318. totalMemory: 11.91GiB freeMemory: 11.69GiB
  319. 2018-09-14 20:11:48.843423: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 5
  320. 2018-09-14 20:11:48.891467: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties:
  321. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  322. pciBusID: 0000:0c:00.0
  323. totalMemory: 11.91GiB freeMemory: 11.69GiB
  324. 2018-09-14 20:11:48.891513: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 4
  325. 2018-09-14 20:11:48.891664: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties:
  326. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  327. pciBusID: 0000:0f:00.0
  328. totalMemory: 11.91GiB freeMemory: 11.69GiB
  329. 2018-09-14 20:11:48.891701: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 7
  330. 2018-09-14 20:11:48.891865: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties:
  331. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  332. pciBusID: 0000:06:00.0
  333. totalMemory: 11.91GiB freeMemory: 11.69GiB
  334. 2018-09-14 20:11:48.891901: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 1
  335. 2018-09-14 20:11:48.891978: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties:
  336. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  337. pciBusID: 0000:08:00.0
  338. totalMemory: 11.91GiB freeMemory: 11.69GiB
  339. 2018-09-14 20:11:48.892029: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 3
  340. 2018-09-14 20:11:48.892101: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties:
  341. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  342. pciBusID: 0000:07:00.0
  343. totalMemory: 11.91GiB freeMemory: 11.69GiB
  344. 2018-09-14 20:11:48.892154: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 2
  345. 2018-09-14 20:11:48.892191: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties:
  346. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  347. pciBusID: 0000:0e:00.0
  348. totalMemory: 11.91GiB freeMemory: 11.69GiB
  349. 2018-09-14 20:11:48.892224: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 6
  350. 2018-09-14 20:11:48.892330: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties:
  351. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  352. pciBusID: 0000:04:00.0
  353. totalMemory: 11.91GiB freeMemory: 11.69GiB
  354. 2018-09-14 20:11:48.892373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 0
  355. 2018-09-14 20:11:49.427223: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:
  356. 2018-09-14 20:11:49.427286: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971]      5
  357. 2018-09-14 20:11:49.427299: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 5:   N
  358. 2018-09-14 20:11:49.427753: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11302 MB memory) -> physical GPU (device: 5, name: TITAN Xp, pci bus id: 0000:0d:00.0, compute capability: 6.1)
  359. 2018-09-14 20:11:49.507541: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:
  360. 2018-09-14 20:11:49.507593: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971]      6
  361. 2018-09-14 20:11:49.507604: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 6:   N
  362. 2018-09-14 20:11:49.508063: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11302 MB memory) -> physical GPU (device: 6, name: TITAN Xp, pci bus id: 0000:0e:00.0, compute capability: 6.1)
  363. 2018-09-14 20:11:49.509638: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:
  364. 2018-09-14 20:11:49.509678: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971]      4
  365. 2018-09-14 20:11:49.509692: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 4:   N
  366. 2018-09-14 20:11:49.510147: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11302 MB memory) -> physical GPU (device: 4, name: TITAN Xp, pci bus id: 0000:0c:00.0, compute capability: 6.1)
  367. 2018-09-14 20:11:49.517305: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:
  368. 2018-09-14 20:11:49.517361: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971]      1
  369. 2018-09-14 20:11:49.517374: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 1:   N
  370. 2018-09-14 20:11:49.517771: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11302 MB memory) -> physical GPU (device: 1, name: TITAN Xp, pci bus id: 0000:06:00.0, compute capability: 6.1)
  371. 2018-09-14 20:11:49.532743: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:
  372. 2018-09-14 20:11:49.532791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971]      3
  373. 2018-09-14 20:11:49.532802: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 3:   N
  374. 2018-09-14 20:11:49.533188: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11302 MB memory) -> physical GPU (device: 3, name: TITAN Xp, pci bus id: 0000:08:00.0, compute capability: 6.1)
  375. 2018-09-14 20:11:49.542913: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:
  376. 2018-09-14 20:11:49.542973: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971]      7
  377. 2018-09-14 20:11:49.542985: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 7:   N
  378. 2018-09-14 20:11:49.543386: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11302 MB memory) -> physical GPU (device: 7, name: TITAN Xp, pci bus id: 0000:0f:00.0, compute capability: 6.1)
  379. 2018-09-14 20:11:49.558568: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:
  380. 2018-09-14 20:11:49.558621: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971]      0
  381. 2018-09-14 20:11:49.558631: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 0:   N
  382. 2018-09-14 20:11:49.559017: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11302 MB memory) -> physical GPU (device: 0, name: TITAN Xp, pci bus id: 0000:04:00.0, compute capability: 6.1)
  383. INFO:tensorflow:Restoring parameters from ./checkpoints/model.ckpt-0
  384. 2018-09-14 20:11:49.588324: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:
  385. 2018-09-14 20:11:49.588385: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971]      2
  386. 2018-09-14 20:11:49.588394: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 2:   N
  387. 2018-09-14 20:11:49.588842: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11302 MB memory) -> physical GPU (device: 2, name: TITAN Xp, pci bus id: 0000:07:00.0, compute capability: 6.1)
  388. INFO:tensorflow:Running local_init_op.
  389. INFO:tensorflow:Done running local_init_op.
  390. 2018-09-14 20:11:49.777861: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
  391. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  392. pciBusID: 0000:06:00.0
  393. totalMemory: 11.90GiB freeMemory: 11.68GiB
  394. 2018-09-14 20:11:49.777943: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 1
  395. 2018-09-14 20:11:49.808891: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
  396. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  397. pciBusID: 0000:04:00.0
  398. totalMemory: 11.90GiB freeMemory: 11.68GiB
  399. 2018-09-14 20:11:49.808945: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0
  400. 2018-09-14 20:11:49.809992: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
  401. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  402. pciBusID: 0000:0e:00.0
  403. totalMemory: 11.90GiB freeMemory: 11.68GiB
  404. 2018-09-14 20:11:49.810041: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 6
  405. 2018-09-14 20:11:49.816196: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
  406. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  407. pciBusID: 0000:07:00.0
  408. totalMemory: 11.90GiB freeMemory: 11.68GiB
  409. 2018-09-14 20:11:49.816247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 2
  410. 2018-09-14 20:11:49.839839: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
  411. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  412. pciBusID: 0000:08:00.0
  413. totalMemory: 11.90GiB freeMemory: 11.68GiB
  414. 2018-09-14 20:11:49.839880: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 3
  415. 2018-09-14 20:11:49.840615: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
  416. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  417. pciBusID: 0000:0c:00.0
  418. totalMemory: 11.90GiB freeMemory: 11.68GiB
  419. 2018-09-14 20:11:49.840654: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 4
  420. 2018-09-14 20:11:49.844088: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
  421. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  422. pciBusID: 0000:0d:00.0
  423. totalMemory: 11.90GiB freeMemory: 11.68GiB
  424. 2018-09-14 20:11:49.844140: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 5
  425. 2018-09-14 20:11:49.844497: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
  426. name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
  427. pciBusID: 0000:0f:00.0
  428. totalMemory: 11.90GiB freeMemory: 11.68GiB
  429. 2018-09-14 20:11:49.844538: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 7
  430. INFO:tensorflow:Running local_init_op.
  431. INFO:tensorflow:Done running local_init_op.
  432. INFO:tensorflow:Running local_init_op.
  433. INFO:tensorflow:Done running local_init_op.
  434. INFO:tensorflow:Running local_init_op.
  435. INFO:tensorflow:Saving checkpoints for 0 into ./checkpoints/model.ckpt.
  436. INFO:tensorflow:Done running local_init_op.
  437. INFO:tensorflow:Running local_init_op.
  438. INFO:tensorflow:Running local_init_op.
  439. INFO:tensorflow:Done running local_init_op.
  440. INFO:tensorflow:Done running local_init_op.
  441. INFO:tensorflow:Running local_init_op.
  442. INFO:tensorflow:Running local_init_op.
  443. INFO:tensorflow:Done running local_init_op.
  444. INFO:tensorflow:Done running local_init_op.
  445. 2018-09-14 20:11:50.390010: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11306 MB memory) -> physical GPU (device: 2, name: TITAN Xp, pci bus id: 0000:07:00.0, compute capability: 6.1)
  446. 2018-09-14 20:11:50.391092: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11306 MB memory) -> physical GPU (device: 1, name: TITAN Xp, pci bus id: 0000:06:00.0, compute capability: 6.1)
  447. 2018-09-14 20:11:50.397633: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11306 MB memory) -> physical GPU (device: 4, name: TITAN Xp, pci bus id: 0000:0c:00.0, compute capability: 6.1)
  448. 2018-09-14 20:11:50.402210: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11306 MB memory) -> physical GPU (device: 0, name: TITAN Xp, pci bus id: 0000:04:00.0, compute capability: 6.1)
  449. 2018-09-14 20:11:50.407246: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11306 MB memory) -> physical GPU (device: 7, name: TITAN Xp, pci bus id: 0000:0f:00.0, compute capability: 6.1)
  450. 2018-09-14 20:11:50.410622: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11306 MB memory) -> physical GPU (device: 6, name: TITAN Xp, pci bus id: 0000:0e:00.0, compute capability: 6.1)
  451. 2018-09-14 20:11:50.419565: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11306 MB memory) -> physical GPU (device: 3, name: TITAN Xp, pci bus id: 0000:08:00.0, compute capability: 6.1)
  452. 2018-09-14 20:11:50.426380: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11306 MB memory) -> physical GPU (device: 5, name: TITAN Xp, pci bus id: 0000:0d:00.0, compute capability: 6.1)
  453. INFO:tensorflow:Running local_init_op.
  454. INFO:tensorflow:Done running local_init_op.
  455. INFO:tensorflow:Running local_init_op.
  456. INFO:tensorflow:Done running local_init_op.
  457. INFO:tensorflow:Running local_init_op.
  458. INFO:tensorflow:Running local_init_op.
  459. INFO:tensorflow:Done running local_init_op.
  460. INFO:tensorflow:Running local_init_op.
  461. INFO:tensorflow:Done running local_init_op.
  462. INFO:tensorflow:Done running local_init_op.
  463. INFO:tensorflow:Running local_init_op.
  464. INFO:tensorflow:Done running local_init_op.
  465. INFO:tensorflow:Running local_init_op.
  466. INFO:tensorflow:Running local_init_op.
  467. INFO:tensorflow:Done running local_init_op.
  468. INFO:tensorflow:Done running local_init_op.
  469. nmyjs-202-75:19917:20036 [0] INFO Using internal Network Socket
  470. nmyjs-202-75:19917:20036 [0] INFO Using NCCL Low-latency algorithm for sizes below 16384
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  472. nmyjs-202-75:19917:20036 [0] INFO NET/Socket : 1 interfaces found
  473. NCCL version 2.2.13+cuda9.0
  474. nmyjs-202-75:19923:20086 [6] INFO Using internal Network Socket
  475. nmyjs-202-75:19923:20086 [6] INFO Using NCCL Low-latency algorithm for sizes below 16384
  476. nmyjs-202-75:19922:20023 [5] INFO Using internal Network Socket
  477. nmyjs-202-75:19922:20023 [5] INFO Using NCCL Low-latency algorithm for sizes below 16384
  478. nmyjs-202-75:19919:20065 [2] INFO Using internal Network Socket
  479. nmyjs-202-75:19919:20065 [2] INFO Using NCCL Low-latency algorithm for sizes below 16384
  480. nmyjs-202-75:19918:20026 [1] INFO Using internal Network Socket
  481. nmyjs-202-75:19918:20026 [1] INFO Using NCCL Low-latency algorithm for sizes below 16384
  482. nmyjs-202-75:19921:20059 [4] INFO Using internal Network Socket
  483. nmyjs-202-75:19921:20059 [4] INFO Using NCCL Low-latency algorithm for sizes below 16384
  484. nmyjs836:31639:31743 [1] INFO Using internal Network Socket
  485. nmyjs836:31639:31743 [1] INFO Using NCCL Low-latency algorithm for sizes below 16384
  486. nmyjs836:31638:31783 [0] INFO Using internal Network Socket
  487. nmyjs836:31638:31783 [0] INFO Using NCCL Low-latency algorithm for sizes below 16384
  488. nmyjs836:31643:31779 [5] INFO Using internal Network Socket
  489. nmyjs836:31643:31779 [5] INFO Using NCCL Low-latency algorithm for sizes below 16384
  490. nmyjs-202-75:19924:20035 [7] INFO Using internal Network Socket
  491. nmyjs836:31640:31746 [2] INFO Using internal Network Socket
  492. nmyjs836:31640:31746 [2] INFO Using NCCL Low-latency algorithm for sizes below 16384
  493. nmyjs836:31642:31747 [4] INFO Using internal Network Socket
  494. nmyjs836:31642:31747 [4] INFO Using NCCL Low-latency algorithm for sizes below 16384
  495. nmyjs836:31644:31794 [6] INFO Using internal Network Socket
  496. nmyjs836:31644:31794 [6] INFO Using NCCL Low-latency algorithm for sizes below 16384
  497. nmyjs-202-75:19924:20035 [7] INFO Using NCCL Low-latency algorithm for sizes below 16384
  498. nmyjs836:31645:31754 [7] INFO Using internal Network Socket
  499. nmyjs836:31645:31754 [7] INFO Using NCCL Low-latency algorithm for sizes below 16384
  500. nmyjs-202-75:19920:20062 [3] INFO Using internal Network Socket
  501. nmyjs-202-75:19920:20062 [3] INFO Using NCCL Low-latency algorithm for sizes below 16384
  502. nmyjs836:31641:31752 [3] INFO Using internal Network Socket
  503. nmyjs836:31641:31752 [3] INFO Using NCCL Low-latency algorithm for sizes below 16384
  504. nmyjs-202-75:19920:20062 [3] INFO comm 0x556af2b41040 rank 3 nranks 16
  505. nmyjs-202-75:19920:20062 [3] INFO NET : Using interface ib0:10.141.251.43<0>
  506. nmyjs-202-75:19920:20062 [3] INFO NET/Socket : 1 interfaces found
  507. nmyjs836:31641:31752 [3] INFO comm 0x55bde675bc10 rank 11 nranks 16
  508. nmyjs836:31641:31752 [3] INFO NET : Using interface ib0:10.141.251.62<0>
  509. nmyjs836:31641:31752 [3] INFO NET/Socket : 1 interfaces found
  510. nmyjs-202-75:19924:20035 [7] INFO comm 0x5594af4cad00 rank 7 nranks 16
  511. nmyjs-202-75:19924:20035 [7] INFO NET : Using interface ib0:10.141.251.43<0>
  512. nmyjs-202-75:19924:20035 [7] INFO NET/Socket : 1 interfaces found
  513. nmyjs836:31642:31747 [4] INFO comm 0x55a7e9f88b50 rank 12 nranks 16
  514. nmyjs836:31642:31747 [4] INFO NET : Using interface ib0:10.141.251.62<0>
  515. nmyjs836:31642:31747 [4] INFO NET/Socket : 1 interfaces found
  516. nmyjs836:31638:31783 [0] INFO comm 0x55f57545a590 rank 8 nranks 16
  517. nmyjs836:31638:31783 [0] INFO NET : Using interface ib0:10.141.251.62<0>
  518. nmyjs836:31638:31783 [0] INFO NET/Socket : 1 interfaces found
  519. nmyjs-202-75:19923:20086 [6] INFO comm 0x556225a68d30 rank 6 nranks 16
  520. nmyjs-202-75:19923:20086 [6] INFO NET : Using interface ib0:10.141.251.43<0>
  521. nmyjs-202-75:19923:20086 [6] INFO NET/Socket : 1 interfaces found
  522. nmyjs-202-75:19917:20036 [0] INFO comm 0x56324e3360c0 rank 0 nranks 16
  523. nmyjs-202-75:19919:20065 [2] INFO comm 0x55fdf710cd10 rank 2 nranks 16
  524. nmyjs-202-75:19919:20065 [2] INFO NET : Using interface ib0:10.141.251.43<0>
  525. nmyjs-202-75:19919:20065 [2] INFO NET/Socket : 1 interfaces found
  526. nmyjs-202-75:19918:20026 [1] INFO comm 0x55a7e8f49280 rank 1 nranks 16
  527. nmyjs836:31643:31779 [5] INFO comm 0x5639713b89b0 rank 13 nranks 16
  528. nmyjs-202-75:19918:20026 [1] INFO NET : Using interface ib0:10.141.251.43<0>
  529. nmyjs-202-75:19918:20026 [1] INFO NET/Socket : 1 interfaces found
  530. nmyjs836:31643:31779 [5] INFO NET : Using interface ib0:10.141.251.62<0>
  531. nmyjs836:31643:31779 [5] INFO NET/Socket : 1 interfaces found
  532. nmyjs836:31645:31754 [7] INFO comm 0x558ea711ddc0 rank 15 nranks 16
  533. nmyjs-202-75:19922:20023 [5] INFO comm 0x5558f2a32c30 rank 5 nranks 16
  534. nmyjs836:31645:31754 [7] INFO NET : Using interface ib0:10.141.251.62<0>
  535. nmyjs836:31645:31754 [7] INFO NET/Socket : 1 interfaces found
  536. nmyjs-202-75:19921:20059 [4] INFO comm 0x557b627de390 rank 4 nranks 16
  537. nmyjs-202-75:19922:20023 [5] INFO NET : Using interface ib0:10.141.251.43<0>
  538. nmyjs-202-75:19922:20023 [5] INFO NET/Socket : 1 interfaces found
  539. nmyjs-202-75:19921:20059 [4] INFO NET : Using interface ib0:10.141.251.43<0>
  540. nmyjs-202-75:19921:20059 [4] INFO NET/Socket : 1 interfaces found
  541. nmyjs836:31644:31794 [6] INFO comm 0x55dcf4f94590 rank 14 nranks 16
  542. nmyjs836:31644:31794 [6] INFO NET : Using interface ib0:10.141.251.62<0>
  543. nmyjs836:31644:31794 [6] INFO NET/Socket : 1 interfaces found
  544. nmyjs836:31640:31746 [2] INFO comm 0x55e4586639b0 rank 10 nranks 16
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  548. nmyjs836:31639:31743 [1] INFO NET : Using interface ib0:10.141.251.62<0>
  549. nmyjs836:31639:31743 [1] INFO NET/Socket : 1 interfaces found
  550. nmyjs-202-75:19917:20036 [0] INFO Using 256 threads
  551. nmyjs-202-75:19917:20036 [0] INFO Min Comp Cap 6
  552. nmyjs-202-75:19917:20036 [0] INFO NCCL_SINGLE_RING_THRESHOLD=131072
  553. nmyjs-202-75:19917:20036 [0] INFO Ring 00 :    0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15
  554. nmyjs836:31639:31743 [1] INFO Ring 00 : 9[1] -> 10[2] via P2P/IPC
  555. nmyjs-202-75:19919:20065 [2] INFO Ring 00 : 2[2] -> 3[3] via P2P/IPC
  556. nmyjs836:31640:31746 [2] INFO Ring 00 : 10[2] -> 11[3] via P2P/IPC
  557. nmyjs-202-75:19922:20023 [5] INFO Ring 00 : 5[5] -> 6[6] via P2P/IPC
  558. nmyjs836:31641:31752 [3] INFO Ring 00 : 11[3] -> 12[4] via P2P/IPC
  559. nmyjs-202-75:19920:20062 [3] INFO Ring 00 : 3[3] -> 4[4] via P2P/IPC
  560. nmyjs-202-75:19921:20059 [4] INFO Ring 00 : 4[4] -> 5[5] via P2P/IPC
  561. nmyjs-202-75:19923:20086 [6] INFO Ring 00 : 6[6] -> 7[7] via P2P/IPC
  562. nmyjs-202-75:19918:20026 [1] INFO Ring 00 : 1[1] -> 2[2] via P2P/IPC
  563. nmyjs836:31643:31779 [5] INFO Ring 00 : 13[5] -> 14[6] via P2P/IPC
  564. nmyjs836:31642:31747 [4] INFO Ring 00 : 12[4] -> 13[5] via P2P/IPC
  565. nmyjs836:31644:31794 [6] INFO Ring 00 : 14[6] -> 15[7] via P2P/IPC
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  570. nmyjs-202-75:19917:20036 [0] INFO Launch mode Parallel
  571. INFO:tensorflow:loss = 2.2815778, step = 0
  572. INFO:tensorflow:loss = 2.3135648, step = 0
  573. INFO:tensorflow:loss = 2.3060503, step = 0
  574. INFO:tensorflow:loss = 2.306276, step = 0
  575. INFO:tensorflow:loss = 2.3232818, step = 0
  576. INFO:tensorflow:loss = 2.3254511, step = 0
  577. INFO:tensorflow:loss = 2.311965, step = 0
  578. INFO:tensorflow:step = 1, loss = 2.3005972
  579. INFO:tensorflow:step = 1, loss = 2.3024435
  580. INFO:tensorflow:step = 1, loss = 2.293679
  581. INFO:tensorflow:step = 1, loss = 2.2999892
  582. INFO:tensorflow:step = 1, loss = 2.2936378
  583. INFO:tensorflow:loss = 2.3013859, step = 0
  584. INFO:tensorflow:step = 1, loss = 2.298308
  585. INFO:tensorflow:step = 1, loss = 2.2970667
  586. INFO:tensorflow:step = 1, loss = 2.299295
  587. INFO:tensorflow:step = 11, loss = 2.2778962 (0.388 sec)
  588. INFO:tensorflow:step = 11, loss = 2.2812977 (0.388 sec)
  589. INFO:tensorflow:step = 11, loss = 2.2780633 (0.388 sec)
  590. INFO:tensorflow:step = 11, loss = 2.2785068 (0.388 sec)
  591. INFO:tensorflow:step = 11, loss = 2.2848077 (0.389 sec)
  592. INFO:tensorflow:step = 11, loss = 2.282075 (0.388 sec)
  593. INFO:tensorflow:step = 11, loss = 2.2720118 (0.388 sec)
  594. INFO:tensorflow:loss = 2.285671, step = 10 (0.389 sec)
  595. INFO:tensorflow:loss = 2.258596, step = 10 (0.389 sec)
  596. INFO:tensorflow:loss = 2.279643, step = 10 (0.389 sec)
  597. INFO:tensorflow:loss = 2.2830334, step = 10 (0.390 sec)
  598. INFO:tensorflow:loss = 2.2866201, step = 10 (0.390 sec)
  599. INFO:tensorflow:loss = 2.285956, step = 10 (0.390 sec)
  600. INFO:tensorflow:loss = 2.288256, step = 10 (0.390 sec)
  601. INFO:tensorflow:step = 11, loss = 2.2753425 (0.390 sec)
  602. INFO:tensorflow:loss = 2.281143, step = 10 (0.389 sec)
  603. INFO:tensorflow:loss = 2.231208, step = 20 (0.214 sec)
  604. INFO:tensorflow:loss = 2.2327566, step = 20 (0.214 sec)
  605. INFO:tensorflow:loss = 2.2459018, step = 20 (0.214 sec)
  606. INFO:tensorflow:loss = 2.2277458, step = 20 (0.214 sec)
  607. INFO:tensorflow:step = 21, loss = 2.2296295 (0.216 sec)
  608. INFO:tensorflow:step = 21, loss = 2.2461715 (0.216 sec)
  609. INFO:tensorflow:loss = 2.2262077, step = 20 (0.215 sec)
  610. INFO:tensorflow:step = 21, loss = 2.2305112 (0.215 sec)
  611. INFO:tensorflow:step = 21, loss = 2.213163 (0.216 sec)
  612. INFO:tensorflow:loss = 2.2204173, step = 20 (0.214 sec)
  613. INFO:tensorflow:step = 21, loss = 2.2384396 (0.216 sec)
  614. INFO:tensorflow:loss = 2.2177703, step = 20 (0.216 sec)
  615. INFO:tensorflow:step = 21, loss = 2.2181106 (0.216 sec)
  616. INFO:tensorflow:step = 21, loss = 2.2246695 (0.216 sec)
  617. INFO:tensorflow:step = 21, loss = 2.227704 (0.215 sec)
  618. INFO:tensorflow:loss = 2.2233622, step = 20 (0.217 sec)
  619. INFO:tensorflow:step = 31, loss = 2.0109873 (0.250 sec)
  620. INFO:tensorflow:step = 31, loss = 2.0507634 (0.250 sec)
  621. INFO:tensorflow:loss = 2.0005407, step = 30 (0.250 sec)
  622. INFO:tensorflow:step = 31, loss = 1.9609696 (0.250 sec)
  623. INFO:tensorflow:step = 31, loss = 2.0013933 (0.251 sec)
  624. INFO:tensorflow:step = 31, loss = 1.9810866 (0.250 sec)
  625. INFO:tensorflow:loss = 2.000771, step = 30 (0.249 sec)
  626. INFO:tensorflow:loss = 1.9929274, step = 30 (0.251 sec)
  627. INFO:tensorflow:step = 31, loss = 2.0004148 (0.250 sec)
  628. INFO:tensorflow:loss = 1.9910241, step = 30 (0.252 sec)
  629. INFO:tensorflow:loss = 2.0005925, step = 30 (0.252 sec)
  630. INFO:tensorflow:loss = 1.9676988, step = 30 (0.252 sec)
  631. INFO:tensorflow:loss = 1.9698524, step = 30 (0.252 sec)
  632. INFO:tensorflow:step = 31, loss = 1.977221 (0.251 sec)
  633. INFO:tensorflow:loss = 1.9607456, step = 30 (0.251 sec)
  634. INFO:tensorflow:step = 31, loss = 2.0184174 (0.251 sec)
  635. INFO:tensorflow:step = 41, loss = 1.1548944 (0.242 sec)
  636. INFO:tensorflow:step = 41, loss = 1.0910537 (0.242 sec)
  637. INFO:tensorflow:step = 41, loss = 1.1619633 (0.241 sec)
  638. INFO:tensorflow:step = 41, loss = 1.0721333 (0.242 sec)
  639. INFO:tensorflow:step = 41, loss = 1.0708042 (0.242 sec)
  640. INFO:tensorflow:loss = 1.1815972, step = 40 (0.242 sec)
  641. INFO:tensorflow:step = 41, loss = 1.192005 (0.242 sec)
  642. INFO:tensorflow:step = 41, loss = 1.1358557 (0.242 sec)
  643. INFO:tensorflow:loss = 1.0673085, step = 40 (0.242 sec)
  644. INFO:tensorflow:step = 41, loss = 1.1365641 (0.242 sec)
  645. INFO:tensorflow:loss = 1.0876813, step = 40 (0.242 sec)
  646. INFO:tensorflow:loss = 1.1679734, step = 40 (0.242 sec)
  647. INFO:tensorflow:loss = 1.1582496, step = 40 (0.243 sec)
  648. INFO:tensorflow:loss = 1.0530478, step = 40 (0.243 sec)
  649. INFO:tensorflow:loss = 1.2001263, step = 40 (0.242 sec)
  650. INFO:tensorflow:loss = 1.1267827, step = 40 (0.242 sec)
  651. INFO:tensorflow:loss = 1.1902198, step = 50 (0.247 sec)
  652. INFO:tensorflow:loss = 1.1169214, step = 50 (0.248 sec)
  653. INFO:tensorflow:loss = 1.3386586, step = 50 (0.248 sec)
  654. INFO:tensorflow:loss = 1.0589787, step = 50 (0.247 sec)
  655. INFO:tensorflow:loss = 1.0876877, step = 50 (0.247 sec)
  656. INFO:tensorflow:loss = 1.2672219, step = 50 (0.249 sec)
  657. INFO:tensorflow:loss = 1.0081913, step = 50 (0.248 sec)
  658. INFO:tensorflow:loss = 1.1048422, step = 50 (0.248 sec)
  659. INFO:tensorflow:step = 51, loss = 1.2035279 (0.250 sec)
  660. INFO:tensorflow:step = 51, loss = 0.99445105 (0.251 sec)
  661. INFO:tensorflow:step = 51, loss = 0.90394235 (0.251 sec)
  662. INFO:tensorflow:step = 51, loss = 0.9712552 (0.251 sec)
  663. INFO:tensorflow:step = 51, loss = 0.9766053 (0.250 sec)
  664. INFO:tensorflow:step = 51, loss = 1.0730962 (0.251 sec)
  665. INFO:tensorflow:step = 51, loss = 1.125225 (0.251 sec)
  666. INFO:tensorflow:step = 51, loss = 1.0204573 (0.250 sec)
  667. INFO:tensorflow:step = 61, loss = 0.6932203 (0.223 sec)
  668. INFO:tensorflow:step = 61, loss = 0.69898385 (0.222 sec)
  669. INFO:tensorflow:step = 61, loss = 0.64569443 (0.222 sec)
  670. INFO:tensorflow:step = 61, loss = 0.7155716 (0.223 sec)
  671. INFO:tensorflow:step = 61, loss = 0.839707 (0.223 sec)
  672. INFO:tensorflow:loss = 0.6959393, step = 60 (0.225 sec)
  673. INFO:tensorflow:step = 61, loss = 0.82506347 (0.224 sec)
  674. INFO:tensorflow:step = 61, loss = 0.7961499 (0.223 sec)
  675. INFO:tensorflow:step = 61, loss = 0.5987786 (0.223 sec)
  676. INFO:tensorflow:loss = 0.78462976, step = 60 (0.226 sec)
  677. INFO:tensorflow:loss = 0.7445472, step = 60 (0.226 sec)
  678. INFO:tensorflow:loss = 0.89375615, step = 60 (0.226 sec)
  679. INFO:tensorflow:loss = 0.6553194, step = 60 (0.227 sec)
  680. INFO:tensorflow:loss = 0.65934914, step = 60 (0.226 sec)
  681. INFO:tensorflow:loss = 0.77330834, step = 60 (0.225 sec)
  682. INFO:tensorflow:loss = 0.5128877, step = 60 (0.226 sec)
  683. INFO:tensorflow:step = 71, loss = 0.77156126 (0.217 sec)
  684. INFO:tensorflow:step = 71, loss = 0.7574083 (0.217 sec)
  685. INFO:tensorflow:step = 71, loss = 0.861973 (0.217 sec)
  686. INFO:tensorflow:step = 71, loss = 0.7800283 (0.217 sec)
  687. INFO:tensorflow:loss = 0.8262891, step = 70 (0.217 sec)
  688. INFO:tensorflow:step = 71, loss = 0.9925207 (0.217 sec)
  689. INFO:tensorflow:step = 71, loss = 1.0730662 (0.217 sec)
  690. INFO:tensorflow:loss = 0.73056245, step = 70 (0.217 sec)
  691. INFO:tensorflow:loss = 0.7923908, step = 70 (0.217 sec)
  692. INFO:tensorflow:step = 71, loss = 0.8634233 (0.217 sec)
  693. INFO:tensorflow:loss = 0.81729805, step = 70 (0.217 sec)
  694. INFO:tensorflow:loss = 0.83599144, step = 70 (0.217 sec)
  695. INFO:tensorflow:step = 71, loss = 1.1364266 (0.217 sec)
  696. INFO:tensorflow:loss = 1.0114917, step = 70 (0.217 sec)
  697. INFO:tensorflow:loss = 0.84470606, step = 70 (0.217 sec)
  698. INFO:tensorflow:loss = 0.55203336, step = 70 (0.218 sec)
  699. INFO:tensorflow:step = 81, loss = 0.7183156 (0.218 sec)
  700. INFO:tensorflow:step = 81, loss = 0.6307032 (0.218 sec)
  701. INFO:tensorflow:step = 81, loss = 0.71279716 (0.218 sec)
  702. INFO:tensorflow:loss = 0.8088164, step = 80 (0.218 sec)
  703. INFO:tensorflow:loss = 0.97261447, step = 80 (0.218 sec)
  704. INFO:tensorflow:loss = 0.7194731, step = 80 (0.218 sec)
  705. INFO:tensorflow:step = 81, loss = 0.6566734 (0.218 sec)
  706. INFO:tensorflow:step = 81, loss = 0.91375244 (0.218 sec)
  707. INFO:tensorflow:loss = 0.8912255, step = 80 (0.218 sec)
  708. INFO:tensorflow:step = 81, loss = 0.73868173 (0.218 sec)
  709. INFO:tensorflow:step = 81, loss = 0.74720037 (0.218 sec)
  710. INFO:tensorflow:step = 81, loss = 0.8730226 (0.218 sec)
  711. INFO:tensorflow:loss = 0.75746346, step = 80 (0.218 sec)
  712. INFO:tensorflow:loss = 0.64544654, step = 80 (0.218 sec)
  713. INFO:tensorflow:loss = 0.61346644, step = 80 (0.217 sec)
  714. INFO:tensorflow:loss = 0.6779809, step = 80 (0.218 sec)
  715. INFO:tensorflow:loss = 0.2308082, step = 90 (0.209 sec)
  716. INFO:tensorflow:loss = 0.24245162, step = 90 (0.209 sec)
  717. INFO:tensorflow:loss = 0.22750321, step = 90 (0.209 sec)
  718. INFO:tensorflow:loss = 0.30584112, step = 90 (0.210 sec)
  719. INFO:tensorflow:loss = 0.27483433, step = 90 (0.210 sec)
  720. INFO:tensorflow:loss = 0.26126847, step = 90 (0.209 sec)
  721. INFO:tensorflow:loss = 0.30340245, step = 90 (0.209 sec)
  722. INFO:tensorflow:step = 91, loss = 0.20838255 (0.211 sec)
  723. INFO:tensorflow:step = 91, loss = 0.10373527 (0.211 sec)
  724. INFO:tensorflow:step = 91, loss = 0.20073965 (0.211 sec)
  725. INFO:tensorflow:loss = 0.28513137, step = 90 (0.210 sec)
  726. INFO:tensorflow:step = 91, loss = 0.16378853 (0.210 sec)
  727. INFO:tensorflow:step = 91, loss = 0.2553088 (0.211 sec)
  728. INFO:tensorflow:step = 91, loss = 0.2813492 (0.211 sec)
  729. INFO:tensorflow:step = 91, loss = 0.41699618 (0.210 sec)
  730. INFO:tensorflow:step = 91, loss = 0.14826564 (0.210 sec)
  731. INFO:tensorflow:step = 101, loss = 3.3456953 (0.224 sec)
  732. INFO:tensorflow:step = 101, loss = 2.951492 (0.224 sec)
  733. INFO:tensorflow:step = 101, loss = 2.590927 (0.225 sec)
  734. INFO:tensorflow:step = 101, loss = 2.7776618 (0.225 sec)
  735. INFO:tensorflow:step = 101, loss = 2.6712208 (0.225 sec)
  736. INFO:tensorflow:step = 101, loss = 3.241998 (0.225 sec)
  737. INFO:tensorflow:loss = 3.1648455, step = 100 (0.226 sec)
  738. INFO:tensorflow:step = 101, loss = 2.5685961 (0.225 sec)
  739. INFO:tensorflow:loss = 2.3673441, step = 100 (0.226 sec)
  740. INFO:tensorflow:loss = 2.7830088, step = 100 (0.226 sec)
  741. INFO:tensorflow:loss = 3.390492, step = 100 (0.226 sec)
  742. INFO:tensorflow:loss = 3.3263807, step = 100 (0.227 sec)
  743. INFO:tensorflow:loss = 3.1332822, step = 100 (0.227 sec)
  744. INFO:tensorflow:loss = 2.9730563, step = 100 (0.227 sec)
  745. INFO:tensorflow:step = 101, loss = 3.3355224 (0.227 sec)
  746. INFO:tensorflow:global_step/sec: 40.9434
  747. INFO:tensorflow:loss = 3.1537747, step = 100 (0.228 sec)
  748. INFO:tensorflow:step = 111, loss = 0.6138997 (0.239 sec)
  749. INFO:tensorflow:step = 111, loss = 0.76703936 (0.239 sec)
  750. INFO:tensorflow:step = 111, loss = 0.47437468 (0.239 sec)
  751. INFO:tensorflow:step = 111, loss = 0.4552663 (0.239 sec)
  752. INFO:tensorflow:step = 111, loss = 0.53017616 (0.239 sec)
  753. INFO:tensorflow:loss = 0.5548384, step = 110 (0.239 sec)
  754. INFO:tensorflow:step = 111, loss = 0.7225191 (0.239 sec)
  755. INFO:tensorflow:step = 111, loss = 0.62132806 (0.238 sec)
  756. INFO:tensorflow:step = 111, loss = 0.5214612 (0.239 sec)
  757. INFO:tensorflow:loss = 0.61575097, step = 110 (0.239 sec)
  758. INFO:tensorflow:loss = 0.7082196, step = 110 (0.239 sec)
  759. INFO:tensorflow:loss = 0.5658578, step = 110 (0.239 sec)
  760. INFO:tensorflow:loss = 0.68613046, step = 110 (0.239 sec)
  761. INFO:tensorflow:loss = 0.72798437, step = 110 (0.239 sec)
  762. INFO:tensorflow:loss = 0.5503305, step = 110 (0.238 sec)
  763. INFO:tensorflow:loss = 0.6066823, step = 110 (0.239 sec)
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  765. INFO:tensorflow:step = 121, loss = 0.67026275 (0.221 sec)
  766. INFO:tensorflow:step = 121, loss = 0.45764756 (0.221 sec)
  767. INFO:tensorflow:step = 121, loss = 0.3726256 (0.221 sec)
  768. INFO:tensorflow:step = 121, loss = 0.45633546 (0.221 sec)
  769. INFO:tensorflow:step = 121, loss = 0.38641915 (0.221 sec)
  770. INFO:tensorflow:loss = 0.3615802, step = 120 (0.221 sec)
  771. INFO:tensorflow:step = 121, loss = 0.63036454 (0.221 sec)
  772. INFO:tensorflow:loss = 0.5038634, step = 120 (0.221 sec)
  773. INFO:tensorflow:step = 121, loss = 0.44528025 (0.221 sec)
  774. INFO:tensorflow:loss = 0.565849, step = 120 (0.221 sec)
  775. INFO:tensorflow:loss = 0.428407, step = 120 (0.221 sec)
  776. INFO:tensorflow:loss = 0.6065607, step = 120 (0.221 sec)
  777. INFO:tensorflow:loss = 0.54357606, step = 120 (0.221 sec)
  778. INFO:tensorflow:loss = 0.43266177, step = 120 (0.221 sec)
  779. INFO:tensorflow:loss = 0.5998363, step = 120 (0.221 sec)
  780. INFO:tensorflow:step = 131, loss = 0.20587644 (0.207 sec)
  781. INFO:tensorflow:step = 131, loss = 0.030536888 (0.207 sec)
  782. INFO:tensorflow:step = 131, loss = 0.23630029 (0.207 sec)
  783. INFO:tensorflow:step = 131, loss = 0.0869133 (0.207 sec)
  784. INFO:tensorflow:step = 131, loss = 0.083640665 (0.207 sec)
  785. INFO:tensorflow:step = 131, loss = 0.0696268 (0.207 sec)
  786. INFO:tensorflow:loss = 0.07475885, step = 130 (0.207 sec)
  787. INFO:tensorflow:step = 131, loss = 0.33395436 (0.207 sec)
  788. INFO:tensorflow:loss = 0.26621735, step = 130 (0.207 sec)
  789. INFO:tensorflow:loss = 0.17488724, step = 130 (0.207 sec)
  790. INFO:tensorflow:loss = 0.1209824, step = 130 (0.207 sec)
  791. INFO:tensorflow:loss = 0.17318085, step = 130 (0.207 sec)
  792. INFO:tensorflow:loss = 0.11477123, step = 130 (0.206 sec)
  793. INFO:tensorflow:loss = 0.12564422, step = 130 (0.207 sec)
  794. INFO:tensorflow:step = 131, loss = 0.13414815 (0.208 sec)
  795. INFO:tensorflow:loss = 0.09026411, step = 130 (0.208 sec)
  796. INFO:tensorflow:loss = 1.071412, step = 140 (0.218 sec)
  797. INFO:tensorflow:loss = 1.3334645, step = 140 (0.217 sec)
  798. INFO:tensorflow:loss = 0.8927366, step = 140 (0.218 sec)
  799. INFO:tensorflow:loss = 1.0192374, step = 140 (0.218 sec)
  800. INFO:tensorflow:loss = 1.1436368, step = 140 (0.217 sec)
  801. INFO:tensorflow:loss = 1.0881238, step = 140 (0.216 sec)
  802. INFO:tensorflow:step = 141, loss = 1.0580072 (0.218 sec)
  803. INFO:tensorflow:step = 141, loss = 1.1627516 (0.219 sec)
  804. INFO:tensorflow:step = 141, loss = 0.90710074 (0.217 sec)
  805. INFO:tensorflow:step = 141, loss = 1.1597456 (0.219 sec)
  806. INFO:tensorflow:step = 141, loss = 1.0321347 (0.219 sec)
  807. INFO:tensorflow:step = 141, loss = 0.9459798 (0.219 sec)
  808. INFO:tensorflow:step = 141, loss = 1.1257106 (0.219 sec)
  809. INFO:tensorflow:step = 141, loss = 1.0348269 (0.219 sec)
  810. INFO:tensorflow:loss = 1.1806839, step = 140 (0.217 sec)
  811. INFO:tensorflow:loss = 1.1668179, step = 140 (0.218 sec)
  812. INFO:tensorflow:loss = 0.09783547, step = 150 (0.216 sec)
  813. INFO:tensorflow:loss = 0.15164657, step = 150 (0.217 sec)
  814. INFO:tensorflow:step = 151, loss = 0.10132619 (0.217 sec)
  815. INFO:tensorflow:step = 151, loss = 0.07873689 (0.217 sec)
  816. INFO:tensorflow:loss = 0.12990303, step = 150 (0.217 sec)
  817. INFO:tensorflow:loss = 0.20449167, step = 150 (0.218 sec)
  818. INFO:tensorflow:loss = 0.10910538, step = 150 (0.218 sec)
  819. INFO:tensorflow:step = 151, loss = 0.19317046 (0.217 sec)
  820. INFO:tensorflow:loss = 0.19506767, step = 150 (0.217 sec)
  821. INFO:tensorflow:step = 151, loss = 0.1985409 (0.217 sec)
  822. INFO:tensorflow:step = 151, loss = 0.13996406 (0.218 sec)
  823. INFO:tensorflow:loss = 0.2551596, step = 150 (0.218 sec)
  824. INFO:tensorflow:loss = 0.13349739, step = 150 (0.217 sec)
  825. INFO:tensorflow:step = 151, loss = 0.05879409 (0.218 sec)
  826. INFO:tensorflow:step = 151, loss = 0.22029671 (0.218 sec)
  827. INFO:tensorflow:step = 151, loss = 0.14936431 (0.218 sec)
  828. INFO:tensorflow:step = 161, loss = 0.18423012 (0.210 sec)
  829. INFO:tensorflow:step = 161, loss = 0.19184151 (0.211 sec)
  830. INFO:tensorflow:step = 161, loss = 0.1168061 (0.210 sec)
  831. INFO:tensorflow:step = 161, loss = 0.12387245 (0.210 sec)
  832. INFO:tensorflow:step = 161, loss = 0.09562854 (0.211 sec)
  833. INFO:tensorflow:step = 161, loss = 0.086750925 (0.211 sec)
  834. INFO:tensorflow:step = 161, loss = 0.09677482 (0.211 sec)
  835. INFO:tensorflow:loss = 0.13894565, step = 160 (0.213 sec)
  836. INFO:tensorflow:step = 161, loss = 0.04503798 (0.211 sec)
  837. INFO:tensorflow:loss = 0.110469095, step = 160 (0.213 sec)
  838. INFO:tensorflow:loss = 0.22712737, step = 160 (0.212 sec)
  839. INFO:tensorflow:loss = 0.09022308, step = 160 (0.212 sec)
  840. INFO:tensorflow:loss = 0.12836942, step = 160 (0.213 sec)
  841. INFO:tensorflow:loss = 0.1547179, step = 160 (0.212 sec)
  842. INFO:tensorflow:loss = 0.28515828, step = 160 (0.212 sec)
  843. INFO:tensorflow:loss = 0.10394933, step = 160 (0.212 sec)
  844. INFO:tensorflow:step = 171, loss = 0.41929024 (0.207 sec)
  845. INFO:tensorflow:step = 171, loss = 0.4520946 (0.207 sec)
  846. INFO:tensorflow:step = 171, loss = 0.17513596 (0.207 sec)
  847. INFO:tensorflow:step = 171, loss = 0.5497691 (0.207 sec)
  848. INFO:tensorflow:loss = 0.27991778, step = 170 (0.207 sec)
  849. INFO:tensorflow:step = 171, loss = 0.26459262 (0.207 sec)
  850. INFO:tensorflow:step = 171, loss = 0.2209662 (0.207 sec)
  851. INFO:tensorflow:step = 171, loss = 0.23258674 (0.207 sec)
  852. INFO:tensorflow:step = 171, loss = 0.37505203 (0.207 sec)
  853. INFO:tensorflow:loss = 0.26871598, step = 170 (0.207 sec)
  854. INFO:tensorflow:loss = 0.37722972, step = 170 (0.207 sec)
  855. INFO:tensorflow:loss = 0.32964966, step = 170 (0.207 sec)
  856. INFO:tensorflow:loss = 0.36257035, step = 170 (0.207 sec)
  857. INFO:tensorflow:loss = 0.29367498, step = 170 (0.207 sec)
  858. INFO:tensorflow:loss = 0.16617212, step = 170 (0.207 sec)
  859. INFO:tensorflow:loss = 0.33966273, step = 170 (0.207 sec)
  860. INFO:tensorflow:step = 181, loss = 0.04210758 (0.213 sec)
  861. INFO:tensorflow:step = 181, loss = 0.23962355 (0.213 sec)
  862. INFO:tensorflow:step = 181, loss = 0.081382744 (0.213 sec)
  863. INFO:tensorflow:step = 181, loss = 0.13393155 (0.213 sec)
  864. INFO:tensorflow:step = 181, loss = 0.12478221 (0.212 sec)
  865. INFO:tensorflow:step = 181, loss = 0.12305703 (0.213 sec)
  866. INFO:tensorflow:step = 181, loss = 0.05572442 (0.212 sec)
  867. INFO:tensorflow:loss = 0.17458396, step = 180 (0.213 sec)
  868. INFO:tensorflow:loss = 0.13119765, step = 180 (0.213 sec)
  869. INFO:tensorflow:loss = 0.054063026, step = 180 (0.213 sec)
  870. INFO:tensorflow:loss = 0.09095889, step = 180 (0.213 sec)
  871. INFO:tensorflow:loss = 0.1260042, step = 180 (0.213 sec)
  872. INFO:tensorflow:loss = 0.14753483, step = 180 (0.213 sec)
  873. INFO:tensorflow:step = 181, loss = 0.07866406 (0.213 sec)
  874. INFO:tensorflow:loss = 0.16122688, step = 180 (0.213 sec)
  875. INFO:tensorflow:loss = 0.064440906, step = 180 (0.213 sec)
  876. INFO:tensorflow:step = 191, loss = 0.12878394 (0.212 sec)
  877. INFO:tensorflow:step = 191, loss = 0.05563074 (0.212 sec)
  878. INFO:tensorflow:step = 191, loss = 0.0991997 (0.212 sec)
  879. INFO:tensorflow:step = 191, loss = 0.110174015 (0.212 sec)
  880. INFO:tensorflow:loss = 0.06248047, step = 190 (0.212 sec)
  881. INFO:tensorflow:step = 191, loss = 0.124783695 (0.212 sec)
  882. INFO:tensorflow:step = 191, loss = 0.012040028 (0.213 sec)
  883. INFO:tensorflow:step = 191, loss = 0.0510232 (0.213 sec)
  884. INFO:tensorflow:loss = 0.11807225, step = 190 (0.212 sec)
  885. INFO:tensorflow:loss = 0.05866189, step = 190 (0.212 sec)
  886. INFO:tensorflow:step = 191, loss = 0.09159359 (0.212 sec)
  887. INFO:tensorflow:loss = 0.08535167, step = 190 (0.212 sec)
  888. INFO:tensorflow:loss = 0.08630896, step = 190 (0.212 sec)
  889. INFO:tensorflow:loss = 0.061180048, step = 190 (0.212 sec)
  890. INFO:tensorflow:loss = 0.09259991, step = 190 (0.213 sec)
  891. INFO:tensorflow:loss = 0.016784474, step = 190 (0.212 sec)
  892. INFO:tensorflow:step = 201, loss = 0.5820692 (0.212 sec)
  893. INFO:tensorflow:step = 201, loss = 1.0656163 (0.212 sec)
  894. INFO:tensorflow:step = 201, loss = 0.88819313 (0.212 sec)
  895. INFO:tensorflow:step = 201, loss = 1.0968904 (0.212 sec)
  896. INFO:tensorflow:loss = 0.63842785, step = 200 (0.212 sec)
  897. INFO:tensorflow:loss = 1.2746856, step = 200 (0.212 sec)
  898. INFO:tensorflow:step = 201, loss = 0.6691572 (0.212 sec)
  899. INFO:tensorflow:step = 201, loss = 0.91975355 (0.212 sec)
  900. INFO:tensorflow:step = 201, loss = 1.1419501 (0.212 sec)
  901. INFO:tensorflow:loss = 0.98502344, step = 200 (0.212 sec)
  902. INFO:tensorflow:step = 201, loss = 0.8901966 (0.212 sec)
  903. INFO:tensorflow:loss = 1.2640045, step = 200 (0.212 sec)
  904. INFO:tensorflow:loss = 0.99623847, step = 200 (0.212 sec)
  905. INFO:tensorflow:loss = 1.0924248, step = 200 (0.212 sec)
  906. INFO:tensorflow:loss = 1.1988503, step = 200 (0.212 sec)
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  909. INFO:tensorflow:loss = 0.13854243, step = 210 (0.217 sec)
  910. INFO:tensorflow:loss = 0.12354434, step = 210 (0.217 sec)
  911. INFO:tensorflow:loss = 0.1278792, step = 210 (0.217 sec)
  912. INFO:tensorflow:loss = 0.05276097, step = 210 (0.217 sec)
  913. INFO:tensorflow:loss = 0.09815179, step = 210 (0.217 sec)
  914. INFO:tensorflow:step = 211, loss = 0.11122111 (0.219 sec)
  915. INFO:tensorflow:step = 211, loss = 0.24409036 (0.219 sec)
  916. INFO:tensorflow:loss = 0.07392927, step = 210 (0.216 sec)
  917. INFO:tensorflow:loss = 0.11611948, step = 210 (0.218 sec)
  918. INFO:tensorflow:step = 211, loss = 0.08302043 (0.219 sec)
  919. INFO:tensorflow:loss = 0.12445335, step = 210 (0.218 sec)
  920. INFO:tensorflow:step = 211, loss = 0.13043648 (0.219 sec)
  921. INFO:tensorflow:step = 211, loss = 0.16035318 (0.219 sec)
  922. INFO:tensorflow:step = 211, loss = 0.14517933 (0.219 sec)
  923. INFO:tensorflow:step = 211, loss = 0.24190019 (0.219 sec)
  924. INFO:tensorflow:step = 211, loss = 0.12035999 (0.219 sec)
  925. INFO:tensorflow:step = 221, loss = 0.29007682 (0.252 sec)
  926. INFO:tensorflow:step = 221, loss = 0.08950563 (0.252 sec)
  927. INFO:tensorflow:step = 221, loss = 0.009896294 (0.251 sec)
  928. INFO:tensorflow:loss = 0.070581205, step = 220 (0.252 sec)
  929. INFO:tensorflow:loss = 0.08195478, step = 220 (0.252 sec)
  930. INFO:tensorflow:step = 221, loss = 0.06704323 (0.252 sec)
  931. INFO:tensorflow:loss = 0.119805664, step = 220 (0.253 sec)
  932. INFO:tensorflow:step = 221, loss = 0.11934812 (0.252 sec)
  933. INFO:tensorflow:step = 221, loss = 0.10971066 (0.252 sec)
  934. INFO:tensorflow:step = 221, loss = 0.08639509 (0.252 sec)
  935. INFO:tensorflow:loss = 0.058036283, step = 220 (0.253 sec)
  936. INFO:tensorflow:loss = 0.09845545, step = 220 (0.253 sec)
  937. INFO:tensorflow:loss = 0.097017966, step = 220 (0.253 sec)
  938. INFO:tensorflow:step = 221, loss = 0.099480584 (0.252 sec)
  939. INFO:tensorflow:loss = 0.0892813, step = 220 (0.253 sec)
  940. INFO:tensorflow:loss = 0.05134885, step = 220 (0.253 sec)
  941. INFO:tensorflow:loss = 0.020348797, step = 230 (0.233 sec)
  942. INFO:tensorflow:loss = 0.017226446, step = 230 (0.233 sec)
  943. INFO:tensorflow:step = 231, loss = 0.09733296 (0.234 sec)
  944. INFO:tensorflow:step = 231, loss = 0.01641376 (0.234 sec)
  945. INFO:tensorflow:loss = 0.015274158, step = 230 (0.234 sec)
  946. INFO:tensorflow:loss = 0.065463744, step = 230 (0.233 sec)
  947. INFO:tensorflow:loss = 0.04785683, step = 230 (0.234 sec)
  948. INFO:tensorflow:loss = 0.04889449, step = 230 (0.235 sec)
  949. INFO:tensorflow:loss = 0.12587732, step = 230 (0.235 sec)
  950. INFO:tensorflow:step = 231, loss = 0.014389248 (0.236 sec)
  951. INFO:tensorflow:step = 231, loss = 0.13873899 (0.235 sec)
  952. INFO:tensorflow:step = 231, loss = 0.056360465 (0.236 sec)
  953. INFO:tensorflow:step = 231, loss = 0.04847906 (0.235 sec)
  954. INFO:tensorflow:step = 231, loss = 0.051679984 (0.235 sec)
  955. INFO:tensorflow:loss = 0.08316494, step = 230 (0.236 sec)
  956. INFO:tensorflow:step = 231, loss = 0.092980474 (0.236 sec)
  957. INFO:tensorflow:loss = 0.13086368, step = 240 (0.246 sec)
  958. INFO:tensorflow:loss = 0.06447646, step = 240 (0.247 sec)
  959. INFO:tensorflow:loss = 0.0940198, step = 240 (0.247 sec)
  960. INFO:tensorflow:step = 241, loss = 0.16946425 (0.248 sec)
  961. INFO:tensorflow:step = 241, loss = 0.11483066 (0.248 sec)
  962. INFO:tensorflow:step = 241, loss = 0.24432012 (0.247 sec)
  963. INFO:tensorflow:loss = 0.08059022, step = 240 (0.248 sec)
  964. INFO:tensorflow:loss = 0.13172312, step = 240 (0.249 sec)
  965. INFO:tensorflow:step = 241, loss = 0.015977694 (0.247 sec)
  966. INFO:tensorflow:step = 241, loss = 0.079785965 (0.246 sec)
  967. INFO:tensorflow:step = 241, loss = 0.031706844 (0.247 sec)
  968. INFO:tensorflow:loss = 0.061875142, step = 240 (0.248 sec)
  969. INFO:tensorflow:loss = 0.04504291, step = 240 (0.249 sec)
  970. INFO:tensorflow:loss = 0.053334776, step = 240 (0.250 sec)
  971. INFO:tensorflow:step = 241, loss = 0.014954353 (0.248 sec)
  972. INFO:tensorflow:step = 241, loss = 0.089162216 (0.247 sec)
  973. INFO:tensorflow:loss = 0.03835962, step = 250 (0.228 sec)
  974. INFO:tensorflow:loss = 0.12901558, step = 250 (0.227 sec)
  975. INFO:tensorflow:loss = 0.03777015, step = 250 (0.226 sec)
  976. INFO:tensorflow:loss = 0.09156022, step = 250 (0.227 sec)
  977. INFO:tensorflow:loss = 0.04528338, step = 250 (0.227 sec)
  978. INFO:tensorflow:loss = 0.060799446, step = 250 (0.227 sec)
  979. INFO:tensorflow:step = 251, loss = 0.12701902 (0.227 sec)
  980. INFO:tensorflow:loss = 0.04792641, step = 250 (0.227 sec)
  981. INFO:tensorflow:loss = 0.0048787766, step = 250 (0.227 sec)
  982. INFO:tensorflow:step = 251, loss = 0.073426485 (0.227 sec)
  983. INFO:tensorflow:step = 251, loss = 0.06893282 (0.227 sec)
  984. INFO:tensorflow:step = 251, loss = 0.08857484 (0.228 sec)
  985. INFO:tensorflow:step = 251, loss = 0.107896745 (0.227 sec)
  986. INFO:tensorflow:step = 251, loss = 0.03523459 (0.226 sec)
  987. INFO:tensorflow:step = 251, loss = 0.05587101 (0.227 sec)
  988. INFO:tensorflow:step = 251, loss = 0.052800704 (0.228 sec)
  989. INFO:tensorflow:step = 261, loss = 0.101093605 (0.231 sec)
  990. INFO:tensorflow:step = 261, loss = 0.014797649 (0.231 sec)
  991. INFO:tensorflow:step = 261, loss = 0.10437198 (0.231 sec)
  992. INFO:tensorflow:step = 261, loss = 0.008753463 (0.231 sec)
  993. INFO:tensorflow:step = 261, loss = 0.08240159 (0.231 sec)
  994. INFO:tensorflow:step = 261, loss = 0.025875622 (0.232 sec)
  995. INFO:tensorflow:step = 261, loss = 0.056944076 (0.231 sec)
  996. INFO:tensorflow:loss = 0.08187208, step = 260 (0.232 sec)
  997. INFO:tensorflow:step = 261, loss = 0.037000775 (0.232 sec)
  998. INFO:tensorflow:loss = 0.0867519, step = 260 (0.233 sec)
  999. INFO:tensorflow:loss = 0.052783255, step = 260 (0.233 sec)
  1000. INFO:tensorflow:loss = 0.12027854, step = 260 (0.233 sec)
  1001. INFO:tensorflow:loss = 0.06337455, step = 260 (0.233 sec)
  1002. INFO:tensorflow:loss = 0.016808763, step = 260 (0.233 sec)
  1003. INFO:tensorflow:loss = 0.102861814, step = 260 (0.233 sec)
  1004. INFO:tensorflow:loss = 0.07265099, step = 260 (0.233 sec)
  1005. INFO:tensorflow:step = 271, loss = 2.1865819 (0.222 sec)
  1006. INFO:tensorflow:step = 271, loss = 1.5823452 (0.223 sec)
  1007. INFO:tensorflow:step = 271, loss = 2.1329472 (0.222 sec)
  1008. INFO:tensorflow:step = 271, loss = 1.7246414 (0.222 sec)
  1009. INFO:tensorflow:loss = 2.4710362, step = 270 (0.222 sec)
  1010. INFO:tensorflow:step = 271, loss = 2.205626 (0.222 sec)
  1011. INFO:tensorflow:step = 271, loss = 1.4848436 (0.222 sec)
  1012. INFO:tensorflow:step = 271, loss = 2.2051454 (0.223 sec)
  1013. INFO:tensorflow:step = 271, loss = 2.2733893 (0.222 sec)
  1014. INFO:tensorflow:loss = 2.1876752, step = 270 (0.222 sec)
  1015. INFO:tensorflow:loss = 2.381571, step = 270 (0.222 sec)
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  1017. INFO:tensorflow:loss = 1.9267138, step = 270 (0.222 sec)
  1018. INFO:tensorflow:loss = 1.0175881, step = 270 (0.222 sec)
  1019. INFO:tensorflow:loss = 2.0611658, step = 270 (0.222 sec)
  1020. INFO:tensorflow:loss = 2.4859324, step = 270 (0.222 sec)
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  1022. INFO:tensorflow:step = 281, loss = 0.027917974 (0.224 sec)
  1023. INFO:tensorflow:step = 281, loss = 0.16156483 (0.224 sec)
  1024. INFO:tensorflow:step = 281, loss = 0.017417794 (0.224 sec)
  1025. INFO:tensorflow:step = 281, loss = 0.14229426 (0.224 sec)
  1026. INFO:tensorflow:step = 281, loss = 0.08582937 (0.224 sec)
  1027. INFO:tensorflow:step = 281, loss = 0.08024134 (0.224 sec)
  1028. INFO:tensorflow:loss = 0.0645338, step = 280 (0.225 sec)
  1029. INFO:tensorflow:loss = 0.07072574, step = 280 (0.224 sec)
  1030. INFO:tensorflow:loss = 0.08981409, step = 280 (0.224 sec)
  1031. INFO:tensorflow:loss = 0.045809526, step = 280 (0.224 sec)
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  1034. INFO:tensorflow:loss = 0.24673964, step = 280 (0.224 sec)
  1035. INFO:tensorflow:step = 281, loss = 0.028856846 (0.224 sec)
  1036. INFO:tensorflow:loss = 0.018706158, step = 280 (0.224 sec)
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  1038. INFO:tensorflow:step = 291, loss = 0.0063205482 (0.232 sec)
  1039. INFO:tensorflow:step = 291, loss = 0.02996009 (0.232 sec)
  1040. INFO:tensorflow:step = 291, loss = 0.016973807 (0.232 sec)
  1041. INFO:tensorflow:step = 291, loss = 0.06050914 (0.232 sec)
  1042. INFO:tensorflow:step = 291, loss = 0.098958485 (0.232 sec)
  1043. INFO:tensorflow:loss = 0.025631795, step = 290 (0.232 sec)
  1044. INFO:tensorflow:step = 291, loss = 0.01216609 (0.232 sec)
  1045. INFO:tensorflow:loss = 0.024556944, step = 290 (0.232 sec)
  1046. INFO:tensorflow:step = 291, loss = 0.021248048 (0.232 sec)
  1047. INFO:tensorflow:loss = 0.018075017, step = 290 (0.232 sec)
  1048. INFO:tensorflow:loss = 0.13812011, step = 290 (0.232 sec)
  1049. INFO:tensorflow:loss = 0.013383462, step = 290 (0.232 sec)
  1050. INFO:tensorflow:loss = 0.11905292, step = 290 (0.232 sec)
  1051. INFO:tensorflow:loss = 0.09073824, step = 290 (0.232 sec)
  1052. INFO:tensorflow:loss = 0.034850787, step = 290 (0.232 sec)
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  1054. INFO:tensorflow:step = 301, loss = 0.0033105204 (0.227 sec)
  1055. INFO:tensorflow:step = 301, loss = 0.062182173 (0.227 sec)
  1056. INFO:tensorflow:step = 301, loss = 0.007867382 (0.227 sec)
  1057. INFO:tensorflow:step = 301, loss = 0.020044185 (0.227 sec)
  1058. INFO:tensorflow:step = 301, loss = 0.039200313 (0.227 sec)
  1059. INFO:tensorflow:step = 301, loss = 0.10242911 (0.227 sec)
  1060. INFO:tensorflow:step = 301, loss = 0.0126677975 (0.227 sec)
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  1065. INFO:tensorflow:loss = 0.022126097, step = 300 (0.227 sec)
  1066. INFO:tensorflow:loss = 0.008518604, step = 300 (0.227 sec)
  1067. INFO:tensorflow:loss = 0.026267162, step = 300 (0.227 sec)
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  1071. INFO:tensorflow:step = 311, loss = 0.18038897 (0.213 sec)
  1072. INFO:tensorflow:step = 311, loss = 0.07391685 (0.212 sec)
  1073. INFO:tensorflow:step = 311, loss = 0.008853405 (0.212 sec)
  1074. INFO:tensorflow:step = 311, loss = 0.062744 (0.212 sec)
  1075. INFO:tensorflow:step = 311, loss = 0.023769327 (0.212 sec)
  1076. INFO:tensorflow:loss = 0.01566441, step = 310 (0.213 sec)
  1077. INFO:tensorflow:step = 311, loss = 0.13979532 (0.212 sec)
  1078. INFO:tensorflow:loss = 0.060456242, step = 310 (0.213 sec)
  1079. INFO:tensorflow:loss = 0.02354629, step = 310 (0.213 sec)
  1080. INFO:tensorflow:loss = 0.13009594, step = 310 (0.213 sec)
  1081. INFO:tensorflow:loss = 0.046101894, step = 310 (0.213 sec)
  1082. INFO:tensorflow:step = 311, loss = 0.04107851 (0.213 sec)
  1083. INFO:tensorflow:loss = 0.0077037048, step = 310 (0.213 sec)
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  1088. INFO:tensorflow:step = 321, loss = 0.048284717 (0.208 sec)
  1089. INFO:tensorflow:step = 321, loss = 0.013162781 (0.208 sec)
  1090. INFO:tensorflow:step = 321, loss = 0.037399355 (0.208 sec)
  1091. INFO:tensorflow:step = 321, loss = 0.010913247 (0.208 sec)
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  1103. INFO:tensorflow:step = 331, loss = 0.025243655 (0.201 sec)
  1104. INFO:tensorflow:step = 331, loss = 0.02870734 (0.201 sec)
  1105. INFO:tensorflow:step = 331, loss = 0.013519024 (0.201 sec)
  1106. INFO:tensorflow:step = 331, loss = 0.008436885 (0.201 sec)
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  1108. INFO:tensorflow:step = 331, loss = 0.03374402 (0.202 sec)
  1109. INFO:tensorflow:step = 331, loss = 0.002820561 (0.201 sec)
  1110. INFO:tensorflow:loss = 0.028700039, step = 330 (0.201 sec)
  1111. INFO:tensorflow:loss = 0.013620379, step = 330 (0.202 sec)
  1112. INFO:tensorflow:loss = 0.0013339748, step = 330 (0.201 sec)
  1113. INFO:tensorflow:step = 331, loss = 0.0024026663 (0.202 sec)
  1114. INFO:tensorflow:loss = 0.0282552, step = 330 (0.201 sec)
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  1119. INFO:tensorflow:step = 341, loss = 1.6938084 (0.233 sec)
  1120. INFO:tensorflow:step = 341, loss = 1.6351614 (0.233 sec)
  1121. INFO:tensorflow:step = 341, loss = 1.7019519 (0.233 sec)
  1122. INFO:tensorflow:step = 341, loss = 1.5675607 (0.232 sec)
  1123. INFO:tensorflow:step = 341, loss = 1.3834747 (0.233 sec)
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  1125. INFO:tensorflow:step = 341, loss = 1.2447742 (0.233 sec)
  1126. INFO:tensorflow:step = 341, loss = 1.8168929 (0.232 sec)
  1127. INFO:tensorflow:loss = 2.1387699, step = 340 (0.233 sec)
  1128. INFO:tensorflow:loss = 1.3411299, step = 340 (0.233 sec)
  1129. INFO:tensorflow:loss = 2.0488195, step = 340 (0.233 sec)
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  1143. INFO:tensorflow:step = 351, loss = 0.0030133822 (0.232 sec)
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  1145. INFO:tensorflow:step = 351, loss = 0.044666547 (0.233 sec)
  1146. INFO:tensorflow:step = 351, loss = 0.048610784 (0.233 sec)
  1147. INFO:tensorflow:step = 351, loss = 0.0551532 (0.233 sec)
  1148. INFO:tensorflow:step = 351, loss = 0.022664422 (0.232 sec)
  1149. INFO:tensorflow:step = 351, loss = 0.046990346 (0.234 sec)
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  1156. INFO:tensorflow:step = 361, loss = 0.01715802 (0.248 sec)
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  1159. INFO:tensorflow:step = 361, loss = 0.037087854 (0.248 sec)
  1160. INFO:tensorflow:step = 361, loss = 0.065216616 (0.248 sec)
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  1162. INFO:tensorflow:step = 361, loss = 0.01938178 (0.247 sec)
  1163. INFO:tensorflow:step = 361, loss = 0.0081579685 (0.248 sec)
  1164. INFO:tensorflow:step = 361, loss = 0.027874315 (0.248 sec)
  1165. INFO:tensorflow:step = 361, loss = 0.112589255 (0.247 sec)
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  1170. INFO:tensorflow:loss = 0.15086319, step = 370 (0.249 sec)
  1171. INFO:tensorflow:loss = 0.048261587, step = 370 (0.248 sec)
  1172. INFO:tensorflow:loss = 0.030317772, step = 370 (0.249 sec)
  1173. INFO:tensorflow:step = 371, loss = 0.059698835 (0.247 sec)
  1174. INFO:tensorflow:step = 371, loss = 0.0001782196 (0.248 sec)
  1175. INFO:tensorflow:step = 371, loss = 0.018509759 (0.246 sec)
  1176. INFO:tensorflow:step = 371, loss = 0.016668685 (0.246 sec)
  1177. INFO:tensorflow:step = 371, loss = 0.12236715 (0.247 sec)
  1178. INFO:tensorflow:loss = 0.06726848, step = 370 (0.248 sec)
  1179. INFO:tensorflow:step = 371, loss = 0.06426262 (0.247 sec)
  1180. INFO:tensorflow:step = 371, loss = 0.03591894 (0.249 sec)
  1181. INFO:tensorflow:step = 371, loss = 0.040898487 (0.247 sec)
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  1183. INFO:tensorflow:step = 381, loss = 0.0033466464 (0.226 sec)
  1184. INFO:tensorflow:step = 381, loss = 0.025686426 (0.226 sec)
  1185. INFO:tensorflow:loss = 0.068513066, step = 380 (0.226 sec)
  1186. INFO:tensorflow:loss = 0.008264038, step = 380 (0.226 sec)
  1187. INFO:tensorflow:loss = 0.014355731, step = 380 (0.226 sec)
  1188. INFO:tensorflow:loss = 0.0022211408, step = 380 (0.226 sec)
  1189. INFO:tensorflow:loss = 0.046063658, step = 380 (0.227 sec)
  1190. INFO:tensorflow:step = 381, loss = 0.02065106 (0.226 sec)
  1191. INFO:tensorflow:step = 381, loss = 0.094817966 (0.227 sec)
  1192. INFO:tensorflow:loss = 0.10239519, step = 380 (0.227 sec)
  1193. INFO:tensorflow:loss = 0.011875186, step = 380 (0.227 sec)
  1194. INFO:tensorflow:step = 381, loss = 0.06188508 (0.227 sec)
  1195. INFO:tensorflow:step = 381, loss = 0.0133914305 (0.227 sec)
  1196. INFO:tensorflow:step = 381, loss = 0.008361665 (0.227 sec)
  1197. INFO:tensorflow:step = 381, loss = 0.06318541 (0.227 sec)
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  1199. INFO:tensorflow:step = 391, loss = 0.03170096 (0.237 sec)
  1200. INFO:tensorflow:step = 391, loss = 0.005095469 (0.236 sec)
  1201. INFO:tensorflow:step = 391, loss = 0.01248645 (0.236 sec)
  1202. INFO:tensorflow:loss = 0.06134476, step = 390 (0.238 sec)
  1203. INFO:tensorflow:step = 391, loss = 0.02891742 (0.238 sec)
  1204. INFO:tensorflow:step = 391, loss = 0.039682664 (0.236 sec)
  1205. INFO:tensorflow:step = 391, loss = 0.025080623 (0.236 sec)
  1206. INFO:tensorflow:loss = 0.07139707, step = 390 (0.238 sec)
  1207. INFO:tensorflow:loss = 0.021986127, step = 390 (0.238 sec)
  1208. INFO:tensorflow:loss = 0.029180892, step = 390 (0.238 sec)
  1209. INFO:tensorflow:loss = 0.03858278, step = 390 (0.238 sec)
  1210. INFO:tensorflow:loss = 0.07223692, step = 390 (0.238 sec)
  1211. INFO:tensorflow:loss = 0.008171643, step = 390 (0.238 sec)
  1212. INFO:tensorflow:loss = 0.006683545, step = 390 (0.238 sec)
  1213. INFO:tensorflow:step = 391, loss = 0.18605939 (0.238 sec)
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  1215. INFO:tensorflow:step = 401, loss = 0.0050668037 (0.228 sec)
  1216. INFO:tensorflow:step = 401, loss = 0.0010854108 (0.228 sec)
  1217. INFO:tensorflow:step = 401, loss = 0.05021194 (0.228 sec)
  1218. INFO:tensorflow:step = 401, loss = 0.0006402308 (0.228 sec)
  1219. INFO:tensorflow:loss = 0.42238772, step = 400 (0.228 sec)
  1220. INFO:tensorflow:step = 401, loss = 0.07631343 (0.227 sec)
  1221. INFO:tensorflow:step = 401, loss = 0.2206331 (0.228 sec)
  1222. INFO:tensorflow:loss = 0.07466584, step = 400 (0.228 sec)
  1223. INFO:tensorflow:loss = 0.07089467, step = 400 (0.228 sec)
  1224. INFO:tensorflow:step = 401, loss = 0.0030372525 (0.229 sec)
  1225. INFO:tensorflow:loss = 0.0008408287, step = 400 (0.228 sec)
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  1233. INFO:tensorflow:step = 411, loss = 0.0070310985 (0.227 sec)
  1234. INFO:tensorflow:step = 411, loss = 0.06660933 (0.227 sec)
  1235. INFO:tensorflow:step = 411, loss = 0.07780382 (0.227 sec)
  1236. INFO:tensorflow:step = 411, loss = 0.032807704 (0.227 sec)
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  1238. INFO:tensorflow:loss = 0.032349445, step = 410 (0.227 sec)
  1239. INFO:tensorflow:step = 411, loss = 0.004027358 (0.227 sec)
  1240. INFO:tensorflow:step = 411, loss = 0.009010288 (0.227 sec)
  1241. INFO:tensorflow:loss = 0.013841605, step = 410 (0.227 sec)
  1242. INFO:tensorflow:loss = 0.00078399177, step = 410 (0.227 sec)
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  1248. INFO:tensorflow:step = 421, loss = 0.00028348336 (0.225 sec)
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  1250. INFO:tensorflow:step = 421, loss = 0.075491846 (0.226 sec)
  1251. INFO:tensorflow:step = 421, loss = 0.0052305604 (0.226 sec)
  1252. INFO:tensorflow:step = 421, loss = 0.013658732 (0.226 sec)
  1253. INFO:tensorflow:step = 421, loss = 0.05303774 (0.225 sec)
  1254. INFO:tensorflow:step = 421, loss = 0.0014163165 (0.226 sec)
  1255. INFO:tensorflow:step = 421, loss = 0.00042401304 (0.226 sec)
  1256. INFO:tensorflow:loss = 0.016326273, step = 420 (0.226 sec)
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  1268. INFO:tensorflow:step = 431, loss = 0.038766287 (0.257 sec)
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  1271. INFO:tensorflow:step = 431, loss = 0.0028044153 (0.256 sec)
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  1281. INFO:tensorflow:step = 441, loss = 0.04079264 (0.254 sec)
  1282. INFO:tensorflow:step = 441, loss = 0.013066756 (0.256 sec)
  1283. INFO:tensorflow:step = 441, loss = 0.007127928 (0.255 sec)
  1284. INFO:tensorflow:step = 441, loss = 0.006972829 (0.255 sec)
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  1287. INFO:tensorflow:step = 441, loss = 0.009512497 (0.255 sec)
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  1297. INFO:tensorflow:step = 451, loss = 0.001462184 (0.235 sec)
  1298. INFO:tensorflow:step = 451, loss = 0.00898439 (0.235 sec)
  1299. INFO:tensorflow:step = 451, loss = 0.0024134568 (0.234 sec)
  1300. INFO:tensorflow:step = 451, loss = 0.005409232 (0.235 sec)
  1301. INFO:tensorflow:step = 451, loss = 0.06022004 (0.235 sec)
  1302. INFO:tensorflow:step = 451, loss = 0.0612273 (0.234 sec)
  1303. INFO:tensorflow:loss = 0.035704933, step = 450 (0.234 sec)
  1304. INFO:tensorflow:loss = 0.007020482, step = 450 (0.234 sec)
  1305. INFO:tensorflow:loss = 0.02581088, step = 450 (0.234 sec)
  1306. INFO:tensorflow:loss = 0.12001853, step = 450 (0.234 sec)
  1307. INFO:tensorflow:loss = 0.0012028727, step = 450 (0.234 sec)
  1308. INFO:tensorflow:loss = 0.008533056, step = 450 (0.234 sec)
  1309. INFO:tensorflow:loss = 0.00075812533, step = 450 (0.234 sec)
  1310. INFO:tensorflow:loss = 0.055990122, step = 450 (0.235 sec)
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  1312. INFO:tensorflow:step = 461, loss = 0.0041948413 (0.233 sec)
  1313. INFO:tensorflow:step = 461, loss = 0.024245225 (0.233 sec)
  1314. INFO:tensorflow:step = 461, loss = 0.042274617 (0.233 sec)
  1315. INFO:tensorflow:step = 461, loss = 0.040655777 (0.232 sec)
  1316. INFO:tensorflow:step = 461, loss = 0.0060327905 (0.233 sec)
  1317. INFO:tensorflow:step = 461, loss = 0.002614361 (0.233 sec)
  1318. INFO:tensorflow:step = 461, loss = 0.0037425375 (0.233 sec)
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  1320. INFO:tensorflow:loss = 0.027718, step = 460 (0.232 sec)
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  1323. INFO:tensorflow:loss = 0.010096524, step = 460 (0.233 sec)
  1324. INFO:tensorflow:loss = 0.0025685907, step = 460 (0.232 sec)
  1325. INFO:tensorflow:loss = 0.005251944, step = 460 (0.233 sec)
  1326. INFO:tensorflow:loss = 0.03679385, step = 460 (0.233 sec)
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  1328. INFO:tensorflow:step = 471, loss = 0.26812038 (0.228 sec)
  1329. INFO:tensorflow:step = 471, loss = 0.04569578 (0.228 sec)
  1330. INFO:tensorflow:step = 471, loss = 0.0039059746 (0.229 sec)
  1331. INFO:tensorflow:step = 471, loss = 0.037996996 (0.228 sec)
  1332. INFO:tensorflow:step = 471, loss = 0.062635854 (0.228 sec)
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  1334. INFO:tensorflow:step = 471, loss = 0.01668208 (0.229 sec)
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  1336. INFO:tensorflow:loss = 0.10752042, step = 470 (0.228 sec)
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  1338. INFO:tensorflow:loss = 0.02981542, step = 470 (0.228 sec)
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  1341. INFO:tensorflow:loss = 0.07760553, step = 470 (0.228 sec)
  1342. INFO:tensorflow:step = 471, loss = 0.107741855 (0.231 sec)
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  1347. INFO:tensorflow:loss = 0.0009745987, step = 480 (0.238 sec)
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  1351. INFO:tensorflow:step = 481, loss = 0.0036915774 (0.239 sec)
  1352. INFO:tensorflow:step = 481, loss = 0.0007176695 (0.239 sec)
  1353. INFO:tensorflow:step = 481, loss = 0.015753888 (0.239 sec)
  1354. INFO:tensorflow:step = 481, loss = 0.05295564 (0.239 sec)
  1355. INFO:tensorflow:step = 481, loss = 0.07083144 (0.239 sec)
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  1358. INFO:tensorflow:step = 481, loss = 0.0069821924 (0.240 sec)
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  1361. INFO:tensorflow:step = 491, loss = 0.080803335 (0.220 sec)
  1362. INFO:tensorflow:step = 491, loss = 0.108316906 (0.220 sec)
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  1364. INFO:tensorflow:step = 491, loss = 0.0034889614 (0.220 sec)
  1365. INFO:tensorflow:step = 491, loss = 0.037522614 (0.220 sec)
  1366. INFO:tensorflow:step = 491, loss = 0.007176286 (0.221 sec)
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  1377. INFO:tensorflow:step = 501, loss = 0.020580046 (0.207 sec)
  1378. INFO:tensorflow:step = 501, loss = 0.023522293 (0.207 sec)
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  1381. INFO:tensorflow:step = 501, loss = 0.013137608 (0.208 sec)
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  1395. INFO:tensorflow:step = 511, loss = 0.004403085 (0.202 sec)
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  1399. INFO:tensorflow:step = 511, loss = 0.08342305 (0.202 sec)
  1400. INFO:tensorflow:step = 511, loss = 0.037225284 (0.202 sec)
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  1420. INFO:tensorflow:step = 521, loss = 0.011032148 (0.204 sec)
  1421. INFO:tensorflow:step = 521, loss = 0.0005993774 (0.205 sec)
  1422. INFO:tensorflow:step = 521, loss = 0.03432073 (0.204 sec)
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  1425. INFO:tensorflow:step = 531, loss = 0.016427195 (0.200 sec)
  1426. INFO:tensorflow:step = 531, loss = 0.016092556 (0.200 sec)
  1427. INFO:tensorflow:step = 531, loss = 0.015527251 (0.200 sec)
  1428. INFO:tensorflow:step = 531, loss = 0.19427802 (0.200 sec)
  1429. INFO:tensorflow:step = 531, loss = 0.0042623915 (0.201 sec)
  1430. INFO:tensorflow:step = 531, loss = 0.011253182 (0.201 sec)
  1431. INFO:tensorflow:step = 531, loss = 0.07683307 (0.201 sec)
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  1442. INFO:tensorflow:step = 541, loss = 0.0008395532 (0.202 sec)
  1443. INFO:tensorflow:step = 541, loss = 0.035650667 (0.202 sec)
  1444. INFO:tensorflow:step = 541, loss = 0.0033591823 (0.202 sec)
  1445. INFO:tensorflow:step = 541, loss = 7.587682e-05 (0.202 sec)
  1446. INFO:tensorflow:step = 541, loss = 0.015071817 (0.202 sec)
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  1449. INFO:tensorflow:step = 541, loss = 0.0045756926 (0.202 sec)
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  1452. INFO:tensorflow:loss = 0.010270609, step = 540 (0.202 sec)
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  1465. INFO:tensorflow:step = 551, loss = 0.056109924 (0.407 sec)
  1466. INFO:tensorflow:step = 551, loss = 0.00030332143 (0.407 sec)
  1467. INFO:tensorflow:step = 551, loss = 0.003539632 (0.407 sec)
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  1469. INFO:tensorflow:step = 551, loss = 0.011482307 (0.407 sec)
  1470. INFO:tensorflow:step = 551, loss = 0.00039523758 (0.406 sec)
  1471. INFO:tensorflow:step = 551, loss = 0.002084752 (0.406 sec)
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  1473. INFO:tensorflow:step = 561, loss = 0.002643015 (0.201 sec)
  1474. INFO:tensorflow:step = 561, loss = 0.03728292 (0.202 sec)
  1475. INFO:tensorflow:step = 561, loss = 0.11192666 (0.202 sec)
  1476. INFO:tensorflow:step = 561, loss = 0.002985471 (0.202 sec)
  1477. INFO:tensorflow:step = 561, loss = 0.1233075 (0.202 sec)
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  1479. INFO:tensorflow:step = 561, loss = 0.061649386 (0.203 sec)
  1480. INFO:tensorflow:loss = 0.08721041, step = 560 (0.205 sec)
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  1482. INFO:tensorflow:step = 561, loss = 0.0040474175 (0.202 sec)
  1483. INFO:tensorflow:loss = 0.038024303, step = 560 (0.204 sec)
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  1486. INFO:tensorflow:loss = 5.148433e-05, step = 560 (0.205 sec)
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  1489. INFO:tensorflow:step = 571, loss = 1.8805401 (0.219 sec)
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  1491. INFO:tensorflow:step = 571, loss = 1.2991347 (0.219 sec)
  1492. INFO:tensorflow:step = 571, loss = 1.3178842 (0.220 sec)
  1493. INFO:tensorflow:step = 571, loss = 1.1953573 (0.220 sec)
  1494. INFO:tensorflow:step = 571, loss = 1.1417184 (0.220 sec)
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  1497. INFO:tensorflow:loss = 1.4760425, step = 570 (0.220 sec)
  1498. INFO:tensorflow:step = 571, loss = 1.9692034 (0.219 sec)
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  1500. INFO:tensorflow:loss = 1.2002456, step = 570 (0.220 sec)
  1501. INFO:tensorflow:loss = 1.3162674, step = 570 (0.220 sec)
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  1508. INFO:tensorflow:loss = 0.083639205, step = 580 (0.207 sec)
  1509. INFO:tensorflow:step = 581, loss = 0.0021224562 (0.209 sec)
  1510. INFO:tensorflow:loss = 0.0731481, step = 580 (0.207 sec)
  1511. INFO:tensorflow:step = 581, loss = 0.043888405 (0.210 sec)
  1512. INFO:tensorflow:loss = 0.04860256, step = 580 (0.208 sec)
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  1515. INFO:tensorflow:step = 581, loss = 0.10807041 (0.210 sec)
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  1517. INFO:tensorflow:step = 581, loss = 0.023191042 (0.210 sec)
  1518. INFO:tensorflow:step = 581, loss = 0.0011106541 (0.210 sec)
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  1522. INFO:tensorflow:step = 591, loss = 0.004019919 (0.204 sec)
  1523. INFO:tensorflow:step = 591, loss = 0.00016505153 (0.203 sec)
  1524. INFO:tensorflow:step = 591, loss = 0.00038965643 (0.203 sec)
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  1527. INFO:tensorflow:step = 591, loss = 0.026888115 (0.204 sec)
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  1586. INFO:tensorflow:step = 631, loss = 0.007081539 (0.208 sec)
  1587. INFO:tensorflow:step = 631, loss = 0.00043479024 (0.209 sec)
  1588. INFO:tensorflow:step = 631, loss = 0.03632648 (0.208 sec)
  1589. INFO:tensorflow:step = 631, loss = 0.008357828 (0.208 sec)
  1590. INFO:tensorflow:loss = 0.007132771, step = 630 (0.209 sec)
  1591. INFO:tensorflow:step = 631, loss = 0.0006420501 (0.209 sec)
  1592. INFO:tensorflow:step = 631, loss = 0.014810273 (0.209 sec)
  1593. INFO:tensorflow:loss = 0.022116179, step = 630 (0.209 sec)
  1594. INFO:tensorflow:step = 631, loss = 0.0016890395 (0.209 sec)
  1595. INFO:tensorflow:loss = 0.005723163, step = 630 (0.208 sec)
  1596. INFO:tensorflow:loss = 0.09860853, step = 630 (0.208 sec)
  1597. INFO:tensorflow:loss = 0.00100916, step = 630 (0.208 sec)
  1598. INFO:tensorflow:loss = 2.4434314e-05, step = 630 (0.209 sec)
  1599. INFO:tensorflow:loss = 0.013292756, step = 630 (0.209 sec)
  1600. INFO:tensorflow:loss = 0.00054395205, step = 630 (0.209 sec)
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  1602. INFO:tensorflow:step = 641, loss = 0.024681058 (0.202 sec)
  1603. INFO:tensorflow:step = 641, loss = 0.13295147 (0.202 sec)
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  1605. INFO:tensorflow:loss = 0.0042556166, step = 640 (0.202 sec)
  1606. INFO:tensorflow:loss = 0.0038967421, step = 640 (0.202 sec)
  1607. INFO:tensorflow:loss = 0.0016686314, step = 640 (0.202 sec)
  1608. INFO:tensorflow:step = 641, loss = 0.0013741334 (0.203 sec)
  1609. INFO:tensorflow:loss = 0.024601934, step = 640 (0.203 sec)
  1610. INFO:tensorflow:step = 641, loss = 0.0003573499 (0.204 sec)
  1611. INFO:tensorflow:step = 641, loss = 0.00019091529 (0.204 sec)
  1612. INFO:tensorflow:step = 641, loss = 0.001275039 (0.203 sec)
  1613. INFO:tensorflow:step = 641, loss = 0.0008935024 (0.203 sec)
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  1621. INFO:tensorflow:step = 651, loss = 0.12026234 (0.206 sec)
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  1635. INFO:tensorflow:step = 661, loss = 6.1848973e-06 (0.212 sec)
  1636. INFO:tensorflow:step = 661, loss = 0.03885771 (0.212 sec)
  1637. INFO:tensorflow:step = 661, loss = 0.033273302 (0.212 sec)
  1638. INFO:tensorflow:step = 661, loss = 0.0049643405 (0.212 sec)
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  1640. INFO:tensorflow:step = 661, loss = 0.00031571515 (0.212 sec)
  1641. INFO:tensorflow:loss = 0.00071319536, step = 660 (0.212 sec)
  1642. INFO:tensorflow:step = 661, loss = 0.0062423386 (0.213 sec)
  1643. INFO:tensorflow:loss = 0.0001424624, step = 660 (0.212 sec)
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  1645. INFO:tensorflow:loss = 0.0014746498, step = 660 (0.212 sec)
  1646. INFO:tensorflow:loss = 0.00045237504, step = 660 (0.212 sec)
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  1650. INFO:tensorflow:step = 671, loss = 0.042400945 (0.225 sec)
  1651. INFO:tensorflow:step = 671, loss = 0.037022177 (0.225 sec)
  1652. INFO:tensorflow:step = 671, loss = 0.12354693 (0.225 sec)
  1653. INFO:tensorflow:step = 671, loss = 0.003660697 (0.225 sec)
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  1671. INFO:tensorflow:step = 681, loss = 0.00214165 (0.228 sec)
  1672. INFO:tensorflow:step = 681, loss = 0.032620803 (0.229 sec)
  1673. INFO:tensorflow:loss = 0.0008865688, step = 680 (0.228 sec)
  1674. INFO:tensorflow:loss = 0.050160814, step = 680 (0.228 sec)
  1675. INFO:tensorflow:loss = 0.019496767, step = 680 (0.228 sec)
  1676. INFO:tensorflow:loss = 0.001171775, step = 680 (0.228 sec)
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  1678. INFO:tensorflow:loss = 0.011595994, step = 680 (0.228 sec)
  1679. INFO:tensorflow:loss = 0.0026706683, step = 680 (0.228 sec)
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  1682. INFO:tensorflow:step = 691, loss = 0.015194869 (0.207 sec)
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  1684. INFO:tensorflow:step = 691, loss = 0.05198991 (0.207 sec)
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  1687. INFO:tensorflow:step = 691, loss = 0.024111504 (0.208 sec)
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  1700. INFO:tensorflow:step = 701, loss = 0.039481588 (0.202 sec)
  1701. INFO:tensorflow:step = 701, loss = 0.05900265 (0.202 sec)
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  1703. INFO:tensorflow:step = 701, loss = 1.9596105e-06 (0.202 sec)
  1704. INFO:tensorflow:step = 701, loss = 0.026517827 (0.202 sec)
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  1706. INFO:tensorflow:step = 701, loss = 0.0050956886 (0.202 sec)
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  1723. INFO:tensorflow:step = 711, loss = 3.9605875e-05 (0.209 sec)
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  1726. INFO:tensorflow:loss = 0.0057776617, step = 710 (0.208 sec)
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  1728. INFO:tensorflow:loss = 0.0003817796, step = 710 (0.209 sec)
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  1736. INFO:tensorflow:loss = 0.0065581296, step = 720 (0.214 sec)
  1737. INFO:tensorflow:loss = 0.0033046838, step = 720 (0.214 sec)
  1738. INFO:tensorflow:step = 721, loss = 0.026093965 (0.215 sec)
  1739. INFO:tensorflow:step = 721, loss = 0.09743189 (0.214 sec)
  1740. INFO:tensorflow:step = 721, loss = 9.351617e-05 (0.215 sec)
  1741. INFO:tensorflow:step = 721, loss = 0.026601465 (0.216 sec)
  1742. INFO:tensorflow:step = 721, loss = 0.045377284 (0.216 sec)
  1743. INFO:tensorflow:step = 721, loss = 0.06320581 (0.216 sec)
  1744. INFO:tensorflow:step = 721, loss = 0.008961733 (0.216 sec)
  1745. INFO:tensorflow:step = 721, loss = 0.12739258 (0.215 sec)
  1746. INFO:tensorflow:step = 731, loss = 0.14204496 (0.240 sec)
  1747. INFO:tensorflow:step = 731, loss = 0.00022590492 (0.240 sec)
  1748. INFO:tensorflow:step = 731, loss = 0.02543892 (0.240 sec)
  1749. INFO:tensorflow:step = 731, loss = 0.04397295 (0.240 sec)
  1750. INFO:tensorflow:step = 731, loss = 0.0006098301 (0.240 sec)
  1751. INFO:tensorflow:loss = 0.0014596474, step = 730 (0.241 sec)
  1752. INFO:tensorflow:step = 731, loss = 0.02646082 (0.241 sec)
  1753. INFO:tensorflow:step = 731, loss = 0.00023109511 (0.241 sec)
  1754. INFO:tensorflow:loss = 3.311286e-06, step = 730 (0.241 sec)
  1755. INFO:tensorflow:loss = 0.062239498, step = 730 (0.242 sec)
  1756. INFO:tensorflow:step = 731, loss = 0.052915264 (0.242 sec)
  1757. INFO:tensorflow:loss = 0.17426299, step = 730 (0.242 sec)
  1758. INFO:tensorflow:loss = 0.02605885, step = 730 (0.242 sec)
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  1760. INFO:tensorflow:loss = 0.011224937, step = 730 (0.242 sec)
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  1763. INFO:tensorflow:loss = 0.01890739, step = 740 (0.222 sec)
  1764. INFO:tensorflow:loss = 3.4804136e-05, step = 740 (0.222 sec)
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  1766. INFO:tensorflow:step = 741, loss = 0.009264356 (0.223 sec)
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  1768. INFO:tensorflow:step = 741, loss = 0.0002655618 (0.224 sec)
  1769. INFO:tensorflow:loss = 0.00080666644, step = 740 (0.223 sec)
  1770. INFO:tensorflow:loss = 9.579986e-05, step = 740 (0.223 sec)
  1771. INFO:tensorflow:loss = 6.887095e-05, step = 740 (0.223 sec)
  1772. INFO:tensorflow:step = 741, loss = 0.004188291 (0.225 sec)
  1773. INFO:tensorflow:step = 741, loss = 0.0012621101 (0.225 sec)
  1774. INFO:tensorflow:step = 741, loss = 0.0016058921 (0.225 sec)
  1775. INFO:tensorflow:step = 741, loss = 0.1160784 (0.224 sec)
  1776. INFO:tensorflow:step = 741, loss = 0.0013078746 (0.224 sec)
  1777. INFO:tensorflow:step = 741, loss = 0.010270288 (0.225 sec)
  1778. INFO:tensorflow:loss = 0.015963493, step = 750 (0.234 sec)
  1779. INFO:tensorflow:loss = 0.00039311714, step = 750 (0.234 sec)
  1780. INFO:tensorflow:loss = 1.6640275e-05, step = 750 (0.235 sec)
  1781. INFO:tensorflow:loss = 0.019062372, step = 750 (0.236 sec)
  1782. INFO:tensorflow:loss = 0.016216882, step = 750 (0.234 sec)
  1783. INFO:tensorflow:loss = 0.11805109, step = 750 (0.235 sec)
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  1785. INFO:tensorflow:step = 751, loss = 0.046114065 (0.234 sec)
  1786. INFO:tensorflow:step = 751, loss = 0.035582554 (0.234 sec)
  1787. INFO:tensorflow:step = 751, loss = 1.7000235e-05 (0.235 sec)
  1788. INFO:tensorflow:loss = 0.07067941, step = 750 (0.235 sec)
  1789. INFO:tensorflow:step = 751, loss = 9.500783e-05 (0.234 sec)
  1790. INFO:tensorflow:step = 751, loss = 0.002405053 (0.234 sec)
  1791. INFO:tensorflow:step = 751, loss = 0.018757142 (0.234 sec)
  1792. INFO:tensorflow:step = 751, loss = 0.012080545 (0.234 sec)
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  1844. INFO:tensorflow:step = 791, loss = 0.014640024 (0.247 sec)
  1845. INFO:tensorflow:step = 791, loss = 0.0992447 (0.247 sec)
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  1847. INFO:tensorflow:step = 791, loss = 9.3032664e-05 (0.247 sec)
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  1858. INFO:tensorflow:step = 801, loss = 1.3958489e-06 (0.238 sec)
  1859. INFO:tensorflow:step = 801, loss = 0.0005144693 (0.238 sec)
  1860. INFO:tensorflow:step = 801, loss = 0.002061805 (0.237 sec)
  1861. INFO:tensorflow:step = 801, loss = 3.6403985e-06 (0.238 sec)
  1862. INFO:tensorflow:step = 801, loss = 0.0035255114 (0.237 sec)
  1863. INFO:tensorflow:step = 801, loss = 0.0009955415 (0.238 sec)
  1864. INFO:tensorflow:step = 801, loss = 0.11568339 (0.238 sec)
  1865. INFO:tensorflow:loss = 0.0019993875, step = 800 (0.238 sec)
  1866. INFO:tensorflow:step = 801, loss = 0.015145497 (0.238 sec)
  1867. INFO:tensorflow:loss = 0.010459738, step = 800 (0.238 sec)
  1868. INFO:tensorflow:loss = 1.3268549e-05, step = 800 (0.238 sec)
  1869. INFO:tensorflow:loss = 1.6843701e-06, step = 800 (0.238 sec)
  1870. INFO:tensorflow:loss = 3.37368e-05, step = 800 (0.238 sec)
  1871. INFO:tensorflow:loss = 0.124333866, step = 800 (0.238 sec)
  1872. INFO:tensorflow:loss = 6.5083426e-05, step = 800 (0.238 sec)
  1873. INFO:tensorflow:global_step/sec: 42.9503
  1874. INFO:tensorflow:loss = 0.0002177542, step = 800 (0.240 sec)
  1875. INFO:tensorflow:loss = 0.014517686, step = 810 (0.236 sec)
  1876. INFO:tensorflow:loss = 5.127571e-05, step = 810 (0.238 sec)
  1877. INFO:tensorflow:loss = 0.06697069, step = 810 (0.238 sec)
  1878. INFO:tensorflow:step = 811, loss = 0.14047651 (0.239 sec)
  1879. INFO:tensorflow:loss = 0.0019950597, step = 810 (0.239 sec)
  1880. INFO:tensorflow:step = 811, loss = 0.0055890055 (0.240 sec)
  1881. INFO:tensorflow:loss = 3.592154e-05, step = 810 (0.239 sec)
  1882. INFO:tensorflow:loss = 0.03089444, step = 810 (0.238 sec)
  1883. INFO:tensorflow:loss = 0.0058402955, step = 810 (0.239 sec)
  1884. INFO:tensorflow:loss = 0.010199922, step = 810 (0.240 sec)
  1885. INFO:tensorflow:step = 811, loss = 0.11655602 (0.241 sec)
  1886. INFO:tensorflow:step = 811, loss = 0.078989156 (0.241 sec)
  1887. INFO:tensorflow:step = 811, loss = 0.00059419015 (0.241 sec)
  1888. INFO:tensorflow:step = 811, loss = 0.0002892411 (0.241 sec)
  1889. INFO:tensorflow:step = 811, loss = 0.008209281 (0.241 sec)
  1890. INFO:tensorflow:step = 811, loss = 0.21814768 (0.242 sec)
  1891. INFO:tensorflow:step = 821, loss = 0.045734458 (0.245 sec)
  1892. INFO:tensorflow:step = 821, loss = 0.031805634 (0.245 sec)
  1893. INFO:tensorflow:step = 821, loss = 0.00030555855 (0.244 sec)
  1894. INFO:tensorflow:step = 821, loss = 0.06448219 (0.244 sec)
  1895. INFO:tensorflow:loss = 0.100098155, step = 820 (0.245 sec)
  1896. INFO:tensorflow:step = 821, loss = 0.0015090726 (0.244 sec)
  1897. INFO:tensorflow:step = 821, loss = 0.053312115 (0.246 sec)
  1898. INFO:tensorflow:step = 821, loss = 0.002768701 (0.245 sec)
  1899. INFO:tensorflow:loss = 2.0544372e-05, step = 820 (0.246 sec)
  1900. INFO:tensorflow:step = 821, loss = 0.0012475818 (0.245 sec)
  1901. INFO:tensorflow:loss = 0.10611846, step = 820 (0.247 sec)
  1902. INFO:tensorflow:loss = 0.015630558, step = 820 (0.247 sec)
  1903. INFO:tensorflow:loss = 0.0040838015, step = 820 (0.247 sec)
  1904. INFO:tensorflow:loss = 0.0035414798, step = 820 (0.248 sec)
  1905. INFO:tensorflow:loss = 0.011185654, step = 820 (0.247 sec)
  1906. INFO:tensorflow:loss = 2.7665083e-06, step = 820 (0.248 sec)
  1907. INFO:tensorflow:step = 831, loss = 0.0008397464 (0.232 sec)
  1908. INFO:tensorflow:step = 831, loss = 0.012722736 (0.232 sec)
  1909. INFO:tensorflow:step = 831, loss = 7.502911e-05 (0.232 sec)
  1910. INFO:tensorflow:step = 831, loss = 0.00044343126 (0.233 sec)
  1911. INFO:tensorflow:step = 831, loss = 0.011266963 (0.233 sec)
  1912. INFO:tensorflow:step = 831, loss = 0.14157149 (0.232 sec)
  1913. INFO:tensorflow:loss = 0.1499178, step = 830 (0.232 sec)
  1914. INFO:tensorflow:step = 831, loss = 0.026297305 (0.233 sec)
  1915. INFO:tensorflow:loss = 0.0009362218, step = 830 (0.232 sec)
  1916. INFO:tensorflow:loss = 5.0630177e-05, step = 830 (0.232 sec)
  1917. INFO:tensorflow:loss = 0.039336685, step = 830 (0.232 sec)
  1918. INFO:tensorflow:loss = 0.108074576, step = 830 (0.232 sec)
  1919. INFO:tensorflow:loss = 0.00026887457, step = 830 (0.232 sec)
  1920. INFO:tensorflow:step = 831, loss = 0.019626727 (0.233 sec)
  1921. INFO:tensorflow:loss = 0.0081324205, step = 830 (0.232 sec)
  1922. INFO:tensorflow:loss = 2.2295682e-05, step = 830 (0.233 sec)
  1923. INFO:tensorflow:step = 841, loss = 0.029829793 (0.213 sec)
  1924. INFO:tensorflow:step = 841, loss = 0.25974387 (0.213 sec)
  1925. INFO:tensorflow:step = 841, loss = 0.08743899 (0.213 sec)
  1926. INFO:tensorflow:step = 841, loss = 0.059152078 (0.213 sec)
  1927. INFO:tensorflow:loss = 3.6782344e-06, step = 840 (0.213 sec)
  1928. INFO:tensorflow:step = 841, loss = 0.022192506 (0.213 sec)
  1929. INFO:tensorflow:step = 841, loss = 0.0028441667 (0.213 sec)
  1930. INFO:tensorflow:step = 841, loss = 0.18238932 (0.213 sec)
  1931. INFO:tensorflow:loss = 0.0040078936, step = 840 (0.213 sec)
  1932. INFO:tensorflow:loss = 0.007426766, step = 840 (0.213 sec)
  1933. INFO:tensorflow:loss = 0.05508752, step = 840 (0.213 sec)
  1934. INFO:tensorflow:loss = 0.007865574, step = 840 (0.213 sec)
  1935. INFO:tensorflow:loss = 0.103214055, step = 840 (0.213 sec)
  1936. INFO:tensorflow:loss = 0.00046057958, step = 840 (0.213 sec)
  1937. INFO:tensorflow:loss = 0.00034237205, step = 840 (0.212 sec)
  1938. INFO:tensorflow:step = 841, loss = 0.18050766 (0.213 sec)
  1939. INFO:tensorflow:step = 851, loss = 0.00079724746 (0.221 sec)
  1940. INFO:tensorflow:step = 851, loss = 0.065309785 (0.221 sec)
  1941. INFO:tensorflow:step = 851, loss = 0.08898152 (0.221 sec)
  1942. INFO:tensorflow:step = 851, loss = 0.0741069 (0.221 sec)
  1943. INFO:tensorflow:step = 851, loss = 0.019628935 (0.221 sec)
  1944. INFO:tensorflow:step = 851, loss = 0.047892604 (0.221 sec)
  1945. INFO:tensorflow:loss = 3.667252e-05, step = 850 (0.221 sec)
  1946. INFO:tensorflow:step = 851, loss = 0.011746573 (0.221 sec)
  1947. INFO:tensorflow:step = 851, loss = 0.02131367 (0.220 sec)
  1948. INFO:tensorflow:loss = 0.0007048345, step = 850 (0.221 sec)
  1949. INFO:tensorflow:loss = 0.01037235, step = 850 (0.222 sec)
  1950. INFO:tensorflow:loss = 0.06997816, step = 850 (0.221 sec)
  1951. INFO:tensorflow:loss = 0.0036735854, step = 850 (0.221 sec)
  1952. INFO:tensorflow:loss = 0.19279905, step = 850 (0.222 sec)
  1953. INFO:tensorflow:loss = 0.001087515, step = 850 (0.222 sec)
  1954. INFO:tensorflow:loss = 0.00019283553, step = 850 (0.221 sec)
  1955. INFO:tensorflow:step = 861, loss = 0.0049382905 (0.215 sec)
  1956. INFO:tensorflow:step = 861, loss = 0.0020507704 (0.215 sec)
  1957. INFO:tensorflow:step = 861, loss = 0.022948254 (0.215 sec)
  1958. INFO:tensorflow:step = 861, loss = 0.008833959 (0.216 sec)
  1959. INFO:tensorflow:step = 861, loss = 0.19758263 (0.215 sec)
  1960. INFO:tensorflow:step = 861, loss = 0.0003764522 (0.215 sec)
  1961. INFO:tensorflow:step = 861, loss = 0.03793663 (0.215 sec)
  1962. INFO:tensorflow:loss = 0.00791139, step = 860 (0.215 sec)
  1963. INFO:tensorflow:step = 861, loss = 0.00068214093 (0.215 sec)
  1964. INFO:tensorflow:loss = 0.0020476463, step = 860 (0.215 sec)
  1965. INFO:tensorflow:loss = 0.02962443, step = 860 (0.215 sec)
  1966. INFO:tensorflow:loss = 1.0311351e-06, step = 860 (0.215 sec)
  1967. INFO:tensorflow:loss = 1.0399103e-05, step = 860 (0.215 sec)
  1968. INFO:tensorflow:loss = 4.219971e-07, step = 860 (0.215 sec)
  1969. INFO:tensorflow:loss = 2.1100317e-05, step = 860 (0.215 sec)
  1970. INFO:tensorflow:loss = 2.4051107e-05, step = 860 (0.215 sec)
  1971. INFO:tensorflow:step = 871, loss = 3.1957527e-06 (0.202 sec)
  1972. INFO:tensorflow:step = 871, loss = 0.084961616 (0.203 sec)
  1973. INFO:tensorflow:step = 871, loss = 0.0009760815 (0.202 sec)
  1974. INFO:tensorflow:step = 871, loss = 0.01634238 (0.203 sec)
  1975. INFO:tensorflow:step = 871, loss = 0.0007120365 (0.202 sec)
  1976. INFO:tensorflow:step = 871, loss = 0.022432683 (0.202 sec)
  1977. INFO:tensorflow:loss = 0.07624908, step = 870 (0.202 sec)
  1978. INFO:tensorflow:loss = 0.008806895, step = 870 (0.203 sec)
  1979. INFO:tensorflow:loss = 0.055098347, step = 870 (0.202 sec)
  1980. INFO:tensorflow:loss = 0.29199624, step = 870 (0.202 sec)
  1981. INFO:tensorflow:loss = 0.0001653039, step = 870 (0.202 sec)
  1982. INFO:tensorflow:loss = 0.22818272, step = 870 (0.202 sec)
  1983. INFO:tensorflow:loss = 0.019827228, step = 870 (0.202 sec)
  1984. INFO:tensorflow:step = 871, loss = 3.1588053e-05 (0.202 sec)
  1985. INFO:tensorflow:step = 871, loss = 0.09594521 (0.203 sec)
  1986. INFO:tensorflow:loss = 0.08710419, step = 870 (0.204 sec)
  1987. INFO:tensorflow:step = 881, loss = 0.002433589 (0.207 sec)
  1988. INFO:tensorflow:step = 881, loss = 0.030780781 (0.207 sec)
  1989. INFO:tensorflow:step = 881, loss = 2.4748648e-05 (0.207 sec)
  1990. INFO:tensorflow:step = 881, loss = 0.136302 (0.207 sec)
  1991. INFO:tensorflow:step = 881, loss = 0.15716939 (0.207 sec)
  1992. INFO:tensorflow:step = 881, loss = 4.887754e-05 (0.208 sec)
  1993. INFO:tensorflow:loss = 4.919252e-05, step = 880 (0.207 sec)
  1994. INFO:tensorflow:step = 881, loss = 0.036908112 (0.207 sec)
  1995. INFO:tensorflow:loss = 0.13049889, step = 880 (0.207 sec)
  1996. INFO:tensorflow:loss = 0.06325868, step = 880 (0.207 sec)
  1997. INFO:tensorflow:loss = 0.098424196, step = 880 (0.207 sec)
  1998. INFO:tensorflow:loss = 0.073302254, step = 880 (0.207 sec)
  1999. INFO:tensorflow:loss = 0.20968023, step = 880 (0.207 sec)
  2000. INFO:tensorflow:loss = 0.010102399, step = 880 (0.207 sec)
  2001. INFO:tensorflow:step = 881, loss = 0.06536717 (0.207 sec)
  2002. INFO:tensorflow:loss = 0.051806513, step = 880 (0.206 sec)
  2003. INFO:tensorflow:step = 891, loss = 0.034971938 (0.207 sec)
  2004. INFO:tensorflow:step = 891, loss = 0.15459907 (0.207 sec)
  2005. INFO:tensorflow:step = 891, loss = 3.9264664e-06 (0.207 sec)
  2006. INFO:tensorflow:step = 891, loss = 4.306204e-05 (0.207 sec)
  2007. INFO:tensorflow:loss = 6.619946e-05, step = 890 (0.207 sec)
  2008. INFO:tensorflow:step = 891, loss = 0.0001521406 (0.207 sec)
  2009. INFO:tensorflow:step = 891, loss = 1.9405813e-06 (0.208 sec)
  2010. INFO:tensorflow:step = 891, loss = 0.029195864 (0.207 sec)
  2011. INFO:tensorflow:step = 891, loss = 0.0015568897 (0.207 sec)
  2012. INFO:tensorflow:loss = 1.5377938e-07, step = 890 (0.207 sec)
  2013. INFO:tensorflow:loss = 8.9956506e-05, step = 890 (0.207 sec)
  2014. INFO:tensorflow:loss = 0.092507556, step = 890 (0.207 sec)
  2015. INFO:tensorflow:loss = 0.008669803, step = 890 (0.207 sec)
  2016. INFO:tensorflow:loss = 0.00011117979, step = 890 (0.207 sec)
  2017. INFO:tensorflow:loss = 0.0001400124, step = 890 (0.207 sec)
  2018. INFO:tensorflow:loss = 4.6568757e-06, step = 890 (0.208 sec)
  2019. INFO:tensorflow:loss = 0.00051921676, step = 900 (0.202 sec)
  2020. INFO:tensorflow:loss = 1.2993773e-07, step = 900 (0.203 sec)
  2021. INFO:tensorflow:step = 901, loss = 0.000119755445 (0.205 sec)
  2022. INFO:tensorflow:step = 901, loss = 1.6644251e-05 (0.204 sec)
  2023. INFO:tensorflow:global_step/sec: 45.7531
  2024. INFO:tensorflow:step = 901, loss = 0.0020160293 (0.205 sec)
  2025. INFO:tensorflow:loss = 0.061727747, step = 900 (0.202 sec)
  2026. INFO:tensorflow:loss = 0.029788963, step = 900 (0.204 sec)
  2027. INFO:tensorflow:loss = 0.028497407, step = 900 (0.204 sec)
  2028. INFO:tensorflow:loss = 0.00017705532, step = 900 (0.205 sec)
  2029. INFO:tensorflow:loss = 1.505044e-05, step = 900 (0.204 sec)
  2030. INFO:tensorflow:loss = 0.047537304, step = 900 (0.204 sec)
  2031. INFO:tensorflow:step = 901, loss = 3.799358e-05 (0.205 sec)
  2032. INFO:tensorflow:step = 901, loss = 0.0 (0.206 sec)
  2033. INFO:tensorflow:step = 901, loss = 0.00032118495 (0.205 sec)
  2034. INFO:tensorflow:step = 901, loss = 9.539445e-05 (0.205 sec)
  2035. INFO:tensorflow:step = 901, loss = 2.1694045e-06 (0.206 sec)
  2036. INFO:tensorflow:step = 911, loss = 0.028875828 (0.214 sec)
  2037. INFO:tensorflow:step = 911, loss = 0.034868687 (0.214 sec)
  2038. INFO:tensorflow:step = 911, loss = 0.0004928841 (0.214 sec)
  2039. INFO:tensorflow:step = 911, loss = 2.0265567e-08 (0.215 sec)
  2040. INFO:tensorflow:loss = 0.039913516, step = 910 (0.215 sec)
  2041. INFO:tensorflow:step = 911, loss = 0.003677187 (0.215 sec)
  2042. INFO:tensorflow:step = 911, loss = 0.00034828935 (0.214 sec)
  2043. INFO:tensorflow:loss = 0.0015362602, step = 910 (0.216 sec)
  2044. INFO:tensorflow:step = 911, loss = 1.0208855e-05 (0.216 sec)
  2045. INFO:tensorflow:loss = 0.00014841201, step = 910 (0.215 sec)
  2046. INFO:tensorflow:step = 911, loss = 0.00060906535 (0.214 sec)
  2047. INFO:tensorflow:loss = 0.00027079164, step = 910 (0.216 sec)
  2048. INFO:tensorflow:loss = 0.035831694, step = 910 (0.216 sec)
  2049. INFO:tensorflow:loss = 0.0057015647, step = 910 (0.217 sec)
  2050. INFO:tensorflow:loss = 3.8265452e-07, step = 910 (0.217 sec)
  2051. INFO:tensorflow:loss = 0.013361658, step = 910 (0.216 sec)
  2052. INFO:tensorflow:loss = 2.1779892e-05, step = 920 (0.217 sec)
  2053. INFO:tensorflow:loss = 1.645077e-07, step = 920 (0.218 sec)
  2054. INFO:tensorflow:loss = 0.0009224772, step = 920 (0.218 sec)
  2055. INFO:tensorflow:step = 921, loss = 0.0398338 (0.219 sec)
  2056. INFO:tensorflow:step = 921, loss = 0.00027006795 (0.219 sec)
  2057. INFO:tensorflow:loss = 1.1920929e-09, step = 920 (0.218 sec)
  2058. INFO:tensorflow:loss = 0.06992407, step = 920 (0.218 sec)
  2059. INFO:tensorflow:loss = 0.0016066404, step = 920 (0.219 sec)
  2060. INFO:tensorflow:loss = 0.043842353, step = 920 (0.219 sec)
  2061. INFO:tensorflow:step = 921, loss = 1.8747152e-05 (0.221 sec)
  2062. INFO:tensorflow:loss = 0.00031467417, step = 920 (0.220 sec)
  2063. INFO:tensorflow:step = 921, loss = 0.038113814 (0.221 sec)
  2064. INFO:tensorflow:step = 921, loss = 0.00019090163 (0.221 sec)
  2065. INFO:tensorflow:step = 921, loss = 0.0002442305 (0.220 sec)
  2066. INFO:tensorflow:step = 921, loss = 0.020633016 (0.220 sec)
  2067. INFO:tensorflow:step = 921, loss = 4.2778697e-06 (0.220 sec)
  2068. INFO:tensorflow:step = 931, loss = 2.7973121e-05 (0.220 sec)
  2069. INFO:tensorflow:step = 931, loss = 3.56165e-06 (0.221 sec)
  2070. INFO:tensorflow:step = 931, loss = 0.024267757 (0.220 sec)
  2071. INFO:tensorflow:step = 931, loss = 0.010282236 (0.220 sec)
  2072. INFO:tensorflow:step = 931, loss = 0.039118588 (0.220 sec)
  2073. INFO:tensorflow:loss = 0.012306814, step = 930 (0.221 sec)
  2074. INFO:tensorflow:step = 931, loss = 0.060683437 (0.222 sec)
  2075. INFO:tensorflow:step = 931, loss = 0.0023959924 (0.221 sec)
  2076. INFO:tensorflow:loss = 0.018402925, step = 930 (0.222 sec)
  2077. INFO:tensorflow:loss = 0.03850124, step = 930 (0.222 sec)
  2078. INFO:tensorflow:step = 931, loss = 0.00041795443 (0.221 sec)
  2079. INFO:tensorflow:loss = 6.0442133e-05, step = 930 (0.223 sec)
  2080. INFO:tensorflow:loss = 0.0032168988, step = 930 (0.223 sec)
  2081. INFO:tensorflow:loss = 0.02022509, step = 930 (0.223 sec)
  2082. INFO:tensorflow:loss = 0.023229903, step = 930 (0.224 sec)
  2083. INFO:tensorflow:loss = 2.7418123e-08, step = 930 (0.223 sec)
  2084. INFO:tensorflow:step = 941, loss = 0.010280563 (0.212 sec)
  2085. INFO:tensorflow:step = 941, loss = 0.008420917 (0.212 sec)
  2086. INFO:tensorflow:step = 941, loss = 0.000121824436 (0.212 sec)
  2087. INFO:tensorflow:step = 941, loss = 0.018983623 (0.212 sec)
  2088. INFO:tensorflow:step = 941, loss = 0.005261264 (0.212 sec)
  2089. INFO:tensorflow:step = 941, loss = 0.045373503 (0.212 sec)
  2090. INFO:tensorflow:loss = 0.04648404, step = 940 (0.212 sec)
  2091. INFO:tensorflow:step = 941, loss = 0.016137533 (0.213 sec)
  2092. INFO:tensorflow:step = 941, loss = 4.5179317e-07 (0.212 sec)
  2093. INFO:tensorflow:loss = 1.2575792e-06, step = 940 (0.212 sec)
  2094. INFO:tensorflow:loss = 0.081001, step = 940 (0.212 sec)
  2095. INFO:tensorflow:loss = 0.016471336, step = 940 (0.212 sec)
  2096. INFO:tensorflow:loss = 0.00022905617, step = 940 (0.212 sec)
  2097. INFO:tensorflow:loss = 0.11658496, step = 940 (0.212 sec)
  2098. INFO:tensorflow:loss = 0.0067041926, step = 940 (0.212 sec)
  2099. INFO:tensorflow:loss = 0.10773955, step = 940 (0.212 sec)
  2100. INFO:tensorflow:step = 951, loss = 0.0027094844 (0.210 sec)
  2101. INFO:tensorflow:step = 951, loss = 0.0057754563 (0.211 sec)
  2102. INFO:tensorflow:step = 951, loss = 0.09307593 (0.211 sec)
  2103. INFO:tensorflow:step = 951, loss = 0.16429119 (0.210 sec)
  2104. INFO:tensorflow:step = 951, loss = 1.8488738e-05 (0.211 sec)
  2105. INFO:tensorflow:step = 951, loss = 0.0007564752 (0.211 sec)
  2106. INFO:tensorflow:step = 951, loss = 0.0930101 (0.211 sec)
  2107. INFO:tensorflow:loss = 6.151073e-07, step = 950 (0.211 sec)
  2108. INFO:tensorflow:loss = 1.7719804e-05, step = 950 (0.211 sec)
  2109. INFO:tensorflow:loss = 0.0032240092, step = 950 (0.211 sec)
  2110. INFO:tensorflow:step = 951, loss = 1.6349744e-05 (0.211 sec)
  2111. INFO:tensorflow:loss = 1.6941209e-05, step = 950 (0.210 sec)
  2112. INFO:tensorflow:loss = 0.040874563, step = 950 (0.211 sec)
  2113. INFO:tensorflow:loss = 8.685401e-05, step = 950 (0.211 sec)
  2114. INFO:tensorflow:loss = 0.030707879, step = 950 (0.211 sec)
  2115. INFO:tensorflow:loss = 4.1981904e-05, step = 950 (0.211 sec)
  2116. INFO:tensorflow:loss = 0.057670835, step = 960 (0.261 sec)
  2117. INFO:tensorflow:step = 961, loss = 0.00066414056 (0.262 sec)
  2118. INFO:tensorflow:loss = 0.06136879, step = 960 (0.261 sec)
  2119. INFO:tensorflow:loss = 2.1266355e-06, step = 960 (0.261 sec)
  2120. INFO:tensorflow:step = 961, loss = 0.030652473 (0.263 sec)
  2121. INFO:tensorflow:loss = 0.0005830579, step = 960 (0.262 sec)
  2122. INFO:tensorflow:loss = 0.0412925, step = 960 (0.262 sec)
  2123. INFO:tensorflow:loss = 2.3833196e-05, step = 960 (0.263 sec)
  2124. INFO:tensorflow:loss = 0.02969638, step = 960 (0.263 sec)
  2125. INFO:tensorflow:step = 961, loss = 0.017406154 (0.264 sec)
  2126. INFO:tensorflow:loss = 0.14785655, step = 960 (0.264 sec)
  2127. INFO:tensorflow:step = 961, loss = 0.00022716887 (0.265 sec)
  2128. INFO:tensorflow:step = 961, loss = 0.14242874 (0.264 sec)
  2129. INFO:tensorflow:step = 961, loss = 0.0012187096 (0.265 sec)
  2130. INFO:tensorflow:step = 961, loss = 0.11533159 (0.265 sec)
  2131. INFO:tensorflow:step = 961, loss = 0.11045354 (0.266 sec)
  2132. INFO:tensorflow:loss = 0.000492972, step = 970 (0.224 sec)
  2133. INFO:tensorflow:step = 971, loss = 9.894338e-08 (0.226 sec)
  2134. INFO:tensorflow:step = 971, loss = 0.0011396637 (0.226 sec)
  2135. INFO:tensorflow:loss = 4.2556903e-07, step = 970 (0.225 sec)
  2136. INFO:tensorflow:loss = 7.225946e-05, step = 970 (0.226 sec)
  2137. INFO:tensorflow:step = 971, loss = 0.0057751285 (0.225 sec)
  2138. INFO:tensorflow:loss = 0.00054990494, step = 970 (0.226 sec)
  2139. INFO:tensorflow:loss = 5.757663e-07, step = 970 (0.227 sec)
  2140. INFO:tensorflow:step = 971, loss = 6.8688045e-05 (0.223 sec)
  2141. INFO:tensorflow:step = 971, loss = 0.10541691 (0.226 sec)
  2142. INFO:tensorflow:loss = 0.00019313958, step = 970 (0.226 sec)
  2143. INFO:tensorflow:step = 971, loss = 5.162867e-06 (0.225 sec)
  2144. INFO:tensorflow:step = 971, loss = 3.3563786e-06 (0.225 sec)
  2145. INFO:tensorflow:step = 971, loss = 7.615793e-06 (0.225 sec)
  2146. INFO:tensorflow:loss = 9.2376846e-05, step = 970 (0.227 sec)
  2147. INFO:tensorflow:loss = 0.09170453, step = 970 (0.227 sec)
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  2156. INFO:tensorflow:step = 981, loss = 3.6477698e-07 (0.233 sec)
  2157. INFO:tensorflow:step = 981, loss = 0.23563664 (0.233 sec)
  2158. INFO:tensorflow:step = 981, loss = 1.2718988e-06 (0.233 sec)
  2159. INFO:tensorflow:step = 981, loss = 2.622601e-08 (0.233 sec)
  2160. INFO:tensorflow:step = 981, loss = 0.02227746 (0.234 sec)
  2161. INFO:tensorflow:step = 981, loss = 1.2358196e-05 (0.233 sec)
  2162. INFO:tensorflow:step = 981, loss = 2.4911656e-06 (0.233 sec)
  2163. INFO:tensorflow:step = 981, loss = 4.6469913e-06 (0.233 sec)
  2164. INFO:tensorflow:step = 991, loss = 0.1489598 (0.250 sec)
  2165. INFO:tensorflow:step = 991, loss = 0.11929949 (0.251 sec)
  2166. INFO:tensorflow:step = 991, loss = 0.25875518 (0.251 sec)
  2167. INFO:tensorflow:step = 991, loss = 5.2128844e-06 (0.251 sec)
  2168. INFO:tensorflow:step = 991, loss = 0.00015749026 (0.252 sec)
  2169. INFO:tensorflow:step = 991, loss = 0.024841037 (0.252 sec)
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  2171. INFO:tensorflow:step = 991, loss = 6.585529e-06 (0.253 sec)
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  2181. INFO:tensorflow:step = 1001, loss = 1.2874558e-07 (0.249 sec)
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  2183. INFO:tensorflow:step = 1001, loss = 3.9030612e-05 (0.251 sec)
  2184. INFO:tensorflow:step = 1001, loss = 0.15284973 (0.251 sec)
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  2189. INFO:tensorflow:step = 1001, loss = 0.02749926 (0.250 sec)
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  2200. INFO:tensorflow:step = 1011, loss = 0.00056860776 (0.227 sec)
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  2210. INFO:tensorflow:loss = 1.1682468e-07, step = 1010 (0.227 sec)
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  2222. INFO:tensorflow:loss = 0.0353314, step = 1020 (0.202 sec)
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  2238. INFO:tensorflow:step = 1031, loss = 0.0007998696 (0.205 sec)
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  2247. INFO:tensorflow:step = 1041, loss = 3.9083216e-06 (0.225 sec)
  2248. INFO:tensorflow:step = 1041, loss = 0.077478856 (0.226 sec)
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  2250. INFO:tensorflow:step = 1041, loss = 0.01838131 (0.226 sec)
  2251. INFO:tensorflow:step = 1041, loss = 0.087547675 (0.226 sec)
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  2273. INFO:tensorflow:loss = 0.09306207, step = 1050 (0.242 sec)
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  2279. INFO:tensorflow:step = 1061, loss = 0.025711546 (0.225 sec)
  2280. INFO:tensorflow:step = 1061, loss = 0.0288516 (0.225 sec)
  2281. INFO:tensorflow:step = 1061, loss = 1.5497159e-07 (0.225 sec)
  2282. INFO:tensorflow:step = 1061, loss = 1.1920926e-08 (0.225 sec)
  2283. INFO:tensorflow:step = 1061, loss = 0.00014767061 (0.224 sec)
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  2285. INFO:tensorflow:step = 1061, loss = 0.0005674882 (0.225 sec)
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  2290. INFO:tensorflow:loss = 2.8610197e-08, step = 1060 (0.225 sec)
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  2294. INFO:tensorflow:step = 1071, loss = 2.1365056e-05 (0.208 sec)
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  2297. INFO:tensorflow:step = 1071, loss = 0.042046025 (0.208 sec)
  2298. INFO:tensorflow:step = 1071, loss = 0.013957184 (0.209 sec)
  2299. INFO:tensorflow:step = 1071, loss = 0.12316088 (0.208 sec)
  2300. INFO:tensorflow:loss = 0.0343242, step = 1070 (0.208 sec)
  2301. INFO:tensorflow:step = 1071, loss = 0.00072177657 (0.208 sec)
  2302. INFO:tensorflow:loss = 0.064805076, step = 1070 (0.208 sec)
  2303. INFO:tensorflow:loss = 2.0265563e-08, step = 1070 (0.208 sec)
  2304. INFO:tensorflow:loss = 2.3841855e-09, step = 1070 (0.208 sec)
  2305. INFO:tensorflow:loss = 4.8874654e-07, step = 1070 (0.208 sec)
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  2310. INFO:tensorflow:loss = 0.1631582, step = 1080 (0.206 sec)
  2311. INFO:tensorflow:loss = 9.5367385e-09, step = 1080 (0.207 sec)
  2312. INFO:tensorflow:loss = 0.0008767989, step = 1080 (0.206 sec)
  2313. INFO:tensorflow:loss = 0.045147177, step = 1080 (0.206 sec)
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  2318. INFO:tensorflow:step = 1081, loss = 0.0047514304 (0.207 sec)
  2319. INFO:tensorflow:step = 1081, loss = 0.00097160833 (0.208 sec)
  2320. INFO:tensorflow:step = 1081, loss = 0.0048157396 (0.208 sec)
  2321. INFO:tensorflow:step = 1081, loss = 4.1621515e-06 (0.207 sec)
  2322. INFO:tensorflow:step = 1081, loss = 0.004172601 (0.208 sec)
  2323. INFO:tensorflow:loss = 0.0005656418, step = 1080 (0.206 sec)
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  2326. INFO:tensorflow:step = 1091, loss = 7.271743e-08 (0.211 sec)
  2327. INFO:tensorflow:step = 1091, loss = 2.7911616e-05 (0.210 sec)
  2328. INFO:tensorflow:step = 1091, loss = 1.0728834e-08 (0.211 sec)
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  2330. INFO:tensorflow:step = 1091, loss = 0.0033060357 (0.211 sec)
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  2332. INFO:tensorflow:step = 1091, loss = 2.3841855e-09 (0.211 sec)
  2333. INFO:tensorflow:step = 1091, loss = 2.2649754e-08 (0.212 sec)
  2334. INFO:tensorflow:loss = 5.0067e-07, step = 1090 (0.212 sec)
  2335. INFO:tensorflow:loss = 0.0, step = 1090 (0.212 sec)
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  2338. INFO:tensorflow:loss = 0.003986689, step = 1090 (0.212 sec)
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  2342. INFO:tensorflow:step = 1101, loss = 1.3232186e-07 (0.436 sec)
  2343. INFO:tensorflow:step = 1101, loss = 0.24525888 (0.437 sec)
  2344. INFO:tensorflow:step = 1101, loss = 6.2344515e-07 (0.437 sec)
  2345. INFO:tensorflow:step = 1101, loss = 0.0018775318 (0.437 sec)
  2346. INFO:tensorflow:step = 1101, loss = 0.0 (0.437 sec)
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  2348. INFO:tensorflow:step = 1101, loss = 0.08437626 (0.437 sec)
  2349. INFO:tensorflow:loss = 0.0006735639, step = 1100 (0.437 sec)
  2350. INFO:tensorflow:step = 1101, loss = 0.001183294 (0.437 sec)
  2351. INFO:tensorflow:loss = 0.00035084962, step = 1100 (0.437 sec)
  2352. INFO:tensorflow:loss = 2.8490635e-07, step = 1100 (0.436 sec)
  2353. INFO:tensorflow:loss = 1.1920929e-09, step = 1100 (0.437 sec)
  2354. INFO:tensorflow:loss = 0.26293567, step = 1100 (0.437 sec)
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  2384. INFO:tensorflow:step = 1121, loss = 7.784233e-07 (0.205 sec)
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  2387. INFO:tensorflow:loss = 9.5367385e-09, step = 1120 (0.205 sec)
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  2394. INFO:tensorflow:step = 1131, loss = 0.04483867 (0.207 sec)
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  2401. INFO:tensorflow:loss = 1.860699e-06, step = 1130 (0.207 sec)
  2402. INFO:tensorflow:loss = 0.01570348, step = 1130 (0.207 sec)
  2403. INFO:tensorflow:loss = 3.9577e-07, step = 1130 (0.207 sec)
  2404. INFO:tensorflow:loss = 4.204961e-06, step = 1130 (0.206 sec)
  2405. INFO:tensorflow:loss = 1.4542529e-06, step = 1130 (0.207 sec)
  2406. INFO:tensorflow:step = 1141, loss = 2.3841855e-09 (0.207 sec)
  2407. INFO:tensorflow:step = 1141, loss = 3.2706364e-05 (0.207 sec)
  2408. INFO:tensorflow:step = 1141, loss = 0.036395647 (0.207 sec)
  2409. INFO:tensorflow:step = 1141, loss = 0.0365803 (0.207 sec)
  2410. INFO:tensorflow:loss = 0.088037945, step = 1140 (0.207 sec)
  2411. INFO:tensorflow:step = 1141, loss = 0.01946563 (0.207 sec)
  2412. INFO:tensorflow:step = 1141, loss = 0.0 (0.207 sec)
  2413. INFO:tensorflow:step = 1141, loss = 0.025576044 (0.208 sec)
  2414. INFO:tensorflow:loss = 0.030157397, step = 1140 (0.207 sec)
  2415. INFO:tensorflow:step = 1141, loss = 0.0013422363 (0.208 sec)
  2416. INFO:tensorflow:loss = 9.056996e-06, step = 1140 (0.207 sec)
  2417. INFO:tensorflow:loss = 0.20217925, step = 1140 (0.207 sec)
  2418. INFO:tensorflow:loss = 0.16555843, step = 1140 (0.207 sec)
  2419. INFO:tensorflow:loss = 0.0072219186, step = 1140 (0.207 sec)
  2420. INFO:tensorflow:loss = 2.1515682e-06, step = 1140 (0.207 sec)
  2421. INFO:tensorflow:loss = 0.004751013, step = 1140 (0.207 sec)
  2422. INFO:tensorflow:loss = 0.023482272, step = 1150 (0.200 sec)
  2423. INFO:tensorflow:loss = 0.10076439, step = 1150 (0.200 sec)
  2424. INFO:tensorflow:loss = 0.036181897, step = 1150 (0.200 sec)
  2425. INFO:tensorflow:step = 1151, loss = 0.00032765925 (0.201 sec)
  2426. INFO:tensorflow:step = 1151, loss = 0.02989085 (0.202 sec)
  2427. INFO:tensorflow:loss = 0.034691222, step = 1150 (0.201 sec)
  2428. INFO:tensorflow:loss = 0.10595962, step = 1150 (0.201 sec)
  2429. INFO:tensorflow:loss = 0.009306284, step = 1150 (0.201 sec)
  2430. INFO:tensorflow:loss = 0.087114975, step = 1150 (0.201 sec)
  2431. INFO:tensorflow:loss = 0.401363, step = 1150 (0.202 sec)
  2432. INFO:tensorflow:step = 1151, loss = 0.018812794 (0.203 sec)
  2433. INFO:tensorflow:step = 1151, loss = 0.13180427 (0.203 sec)
  2434. INFO:tensorflow:step = 1151, loss = 0.061968338 (0.203 sec)
  2435. INFO:tensorflow:step = 1151, loss = 0.0001238983 (0.204 sec)
  2436. INFO:tensorflow:step = 1151, loss = 0.0028879372 (0.203 sec)
  2437. INFO:tensorflow:step = 1151, loss = 0.13392307 (0.203 sec)
  2438. INFO:tensorflow:loss = 0.02669275, step = 1160 (0.207 sec)
  2439. INFO:tensorflow:loss = 9.203404e-06, step = 1160 (0.207 sec)
  2440. INFO:tensorflow:loss = 1.5497167e-07, step = 1160 (0.208 sec)
  2441. INFO:tensorflow:loss = 2.3841855e-09, step = 1160 (0.207 sec)
  2442. INFO:tensorflow:loss = 0.23706265, step = 1160 (0.209 sec)
  2443. INFO:tensorflow:loss = 0.0010919883, step = 1160 (0.210 sec)
  2444. INFO:tensorflow:loss = 0.0018018836, step = 1160 (0.210 sec)
  2445. INFO:tensorflow:step = 1161, loss = 0.00062089687 (0.209 sec)
  2446. INFO:tensorflow:step = 1161, loss = 1.9073468e-08 (0.209 sec)
  2447. INFO:tensorflow:step = 1161, loss = 0.00049478177 (0.209 sec)
  2448. INFO:tensorflow:loss = 4.4559398e-05, step = 1160 (0.210 sec)
  2449. INFO:tensorflow:step = 1161, loss = 0.0912039 (0.208 sec)
  2450. INFO:tensorflow:step = 1161, loss = 0.00012482743 (0.208 sec)
  2451. INFO:tensorflow:step = 1161, loss = 0.15598498 (0.208 sec)
  2452. INFO:tensorflow:step = 1161, loss = 0.0008463646 (0.208 sec)
  2453. INFO:tensorflow:step = 1161, loss = 2.3841855e-09 (0.209 sec)
  2454. INFO:tensorflow:loss = 1.5497116e-07, step = 1170 (0.206 sec)
  2455. INFO:tensorflow:step = 1171, loss = 0.29696187 (0.206 sec)
  2456. INFO:tensorflow:loss = 0.010588275, step = 1170 (0.207 sec)
  2457. INFO:tensorflow:loss = 0.0025342733, step = 1170 (0.207 sec)
  2458. INFO:tensorflow:step = 1171, loss = 2.9583557e-06 (0.207 sec)
  2459. INFO:tensorflow:loss = 3.2223343e-05, step = 1170 (0.207 sec)
  2460. INFO:tensorflow:loss = 8.3839375e-05, step = 1170 (0.208 sec)
  2461. INFO:tensorflow:loss = 0.002106849, step = 1170 (0.209 sec)
  2462. INFO:tensorflow:loss = 0.009344484, step = 1170 (0.209 sec)
  2463. INFO:tensorflow:step = 1171, loss = 1.0607648e-05 (0.207 sec)
  2464. INFO:tensorflow:loss = 7.835662e-06, step = 1170 (0.209 sec)
  2465. INFO:tensorflow:step = 1171, loss = 0.00020317886 (0.207 sec)
  2466. INFO:tensorflow:step = 1171, loss = 0.012840472 (0.208 sec)
  2467. INFO:tensorflow:step = 1171, loss = 0.014495925 (0.208 sec)
  2468. INFO:tensorflow:step = 1171, loss = 4.0132177e-06 (0.208 sec)
  2469. INFO:tensorflow:step = 1171, loss = 3.85056e-05 (0.208 sec)
  2470. INFO:tensorflow:step = 1181, loss = 6.234504e-07 (0.201 sec)
  2471. INFO:tensorflow:step = 1181, loss = 2.039463e-06 (0.200 sec)
  2472. INFO:tensorflow:step = 1181, loss = 3.5762782e-09 (0.200 sec)
  2473. INFO:tensorflow:step = 1181, loss = 0.0008468793 (0.199 sec)
  2474. INFO:tensorflow:step = 1181, loss = 0.0002980904 (0.202 sec)
  2475. INFO:tensorflow:step = 1181, loss = 0.00018247591 (0.200 sec)
  2476. INFO:tensorflow:step = 1181, loss = 0.03768539 (0.200 sec)
  2477. INFO:tensorflow:loss = 0.0015972719, step = 1180 (0.201 sec)
  2478. INFO:tensorflow:step = 1181, loss = 0.010226214 (0.200 sec)
  2479. INFO:tensorflow:loss = 1.2755326e-07, step = 1180 (0.202 sec)
  2480. INFO:tensorflow:loss = 3.218648e-08, step = 1180 (0.202 sec)
  2481. INFO:tensorflow:loss = 0.07099041, step = 1180 (0.202 sec)
  2482. INFO:tensorflow:loss = 0.0006201722, step = 1180 (0.202 sec)
  2483. INFO:tensorflow:loss = 3.2864568e-06, step = 1180 (0.203 sec)
  2484. INFO:tensorflow:loss = 0.009053724, step = 1180 (0.204 sec)
  2485. INFO:tensorflow:loss = 0.02136336, step = 1180 (0.205 sec)
  2486. INFO:tensorflow:step = 1191, loss = 4.5111836e-05 (0.207 sec)
  2487. INFO:tensorflow:step = 1191, loss = 0.00049864827 (0.207 sec)
  2488. INFO:tensorflow:step = 1191, loss = 0.0008411173 (0.207 sec)
  2489. INFO:tensorflow:step = 1191, loss = 0.0009361912 (0.208 sec)
  2490. INFO:tensorflow:step = 1191, loss = 0.02095534 (0.207 sec)
  2491. INFO:tensorflow:step = 1191, loss = 0.06287544 (0.207 sec)
  2492. INFO:tensorflow:loss = 8.225414e-08, step = 1190 (0.207 sec)
  2493. INFO:tensorflow:step = 1191, loss = 0.0066947774 (0.208 sec)
  2494. INFO:tensorflow:step = 1191, loss = 8.112078e-06 (0.208 sec)
  2495. INFO:tensorflow:loss = 0.0008737205, step = 1190 (0.207 sec)
  2496. INFO:tensorflow:loss = 0.1767771, step = 1190 (0.207 sec)
  2497. INFO:tensorflow:loss = 0.12862726, step = 1190 (0.207 sec)
  2498. INFO:tensorflow:loss = 0.023591366, step = 1190 (0.207 sec)
  2499. INFO:tensorflow:loss = 0.09587684, step = 1190 (0.207 sec)
  2500. INFO:tensorflow:loss = 0.00028149766, step = 1190 (0.207 sec)
  2501. INFO:tensorflow:loss = 3.0110321e-05, step = 1190 (0.206 sec)
  2502. INFO:tensorflow:step = 1201, loss = 0.0122994 (0.207 sec)
  2503. INFO:tensorflow:step = 1201, loss = 0.18076195 (0.207 sec)
  2504. INFO:tensorflow:step = 1201, loss = 0.018996561 (0.208 sec)
  2505. INFO:tensorflow:step = 1201, loss = 0.1459902 (0.208 sec)
  2506. INFO:tensorflow:step = 1201, loss = 3.811635e-05 (0.207 sec)
  2507. INFO:tensorflow:step = 1201, loss = 3.7366965e-05 (0.207 sec)
  2508. INFO:tensorflow:step = 1201, loss = 0.047655363 (0.207 sec)
  2509. INFO:tensorflow:loss = 0.034249693, step = 1200 (0.207 sec)
  2510. INFO:tensorflow:step = 1201, loss = 0.053013638 (0.207 sec)
  2511. INFO:tensorflow:loss = 3.3259218e-07, step = 1200 (0.207 sec)
  2512. INFO:tensorflow:loss = 0.0, step = 1200 (0.208 sec)
  2513. INFO:tensorflow:loss = 0.04850699, step = 1200 (0.207 sec)
  2514. INFO:tensorflow:loss = 2.3245597e-07, step = 1200 (0.207 sec)
  2515. INFO:tensorflow:global_step/sec: 48.9097
  2516. INFO:tensorflow:loss = 0.1436169, step = 1200 (0.209 sec)
  2517. INFO:tensorflow:loss = 0.07128976, step = 1200 (0.209 sec)
  2518. INFO:tensorflow:loss = 0.009327096, step = 1200 (0.212 sec)
  2519. INFO:tensorflow:step = 1211, loss = 2.5510465e-07 (0.233 sec)
  2520. INFO:tensorflow:step = 1211, loss = 0.026891565 (0.234 sec)
  2521. INFO:tensorflow:step = 1211, loss = 8.136517e-06 (0.234 sec)
  2522. INFO:tensorflow:step = 1211, loss = 0.00045830783 (0.233 sec)
  2523. INFO:tensorflow:step = 1211, loss = 2.5686302e-06 (0.234 sec)
  2524. INFO:tensorflow:loss = 0.005797039, step = 1210 (0.233 sec)
  2525. INFO:tensorflow:loss = 5.9604632e-09, step = 1210 (0.233 sec)
  2526. INFO:tensorflow:step = 1211, loss = 0.0 (0.234 sec)
  2527. INFO:tensorflow:step = 1211, loss = 0.00010396557 (0.234 sec)
  2528. INFO:tensorflow:loss = 1.2516192e-06, step = 1210 (0.229 sec)
  2529. INFO:tensorflow:step = 1211, loss = 0.00043838323 (0.234 sec)
  2530. INFO:tensorflow:loss = 0.0004913793, step = 1210 (0.232 sec)
  2531. INFO:tensorflow:loss = 0.00042443155, step = 1210 (0.234 sec)
  2532. INFO:tensorflow:loss = 1.5973943e-07, step = 1210 (0.234 sec)
  2533. INFO:tensorflow:loss = 0.010228212, step = 1210 (0.234 sec)
  2534. INFO:tensorflow:loss = 0.000119745324, step = 1210 (0.232 sec)
  2535. INFO:tensorflow:step = 1221, loss = 3.1990658e-06 (0.216 sec)
  2536. INFO:tensorflow:step = 1221, loss = 0.028084468 (0.216 sec)
  2537. INFO:tensorflow:step = 1221, loss = 0.15597294 (0.216 sec)
  2538. INFO:tensorflow:step = 1221, loss = 0.073409654 (0.216 sec)
  2539. INFO:tensorflow:step = 1221, loss = 1.7258766e-05 (0.217 sec)
  2540. INFO:tensorflow:step = 1221, loss = 0.008301458 (0.216 sec)
  2541. INFO:tensorflow:loss = 2.07064e-05, step = 1220 (0.216 sec)
  2542. INFO:tensorflow:step = 1221, loss = 0.019495701 (0.216 sec)
  2543. INFO:tensorflow:loss = 1.9073468e-08, step = 1220 (0.216 sec)
  2544. INFO:tensorflow:loss = 6.7947e-07, step = 1220 (0.216 sec)
  2545. INFO:tensorflow:step = 1221, loss = 0.09001869 (0.216 sec)
  2546. INFO:tensorflow:loss = 1.0719674e-05, step = 1220 (0.216 sec)
  2547. INFO:tensorflow:loss = 0.001929172, step = 1220 (0.216 sec)
  2548. INFO:tensorflow:loss = 0.14098747, step = 1220 (0.216 sec)
  2549. INFO:tensorflow:loss = 0.10394693, step = 1220 (0.216 sec)
  2550. INFO:tensorflow:loss = 0.0, step = 1220 (0.216 sec)
  2551. INFO:tensorflow:loss = 4.5299426e-08, step = 1230 (0.228 sec)
  2552. INFO:tensorflow:loss = 4.6392008e-05, step = 1230 (0.228 sec)
  2553. INFO:tensorflow:step = 1231, loss = 7.200125e-05 (0.230 sec)
  2554. INFO:tensorflow:step = 1231, loss = 0.077350944 (0.230 sec)
  2555. INFO:tensorflow:loss = 0.0029864216, step = 1230 (0.228 sec)
  2556. INFO:tensorflow:loss = 0.0006480023, step = 1230 (0.229 sec)
  2557. INFO:tensorflow:loss = 0.22239874, step = 1230 (0.229 sec)
  2558. INFO:tensorflow:loss = 0.001089415, step = 1230 (0.230 sec)
  2559. INFO:tensorflow:step = 1231, loss = 7.469249e-06 (0.231 sec)
  2560. INFO:tensorflow:step = 1231, loss = 0.0091276625 (0.231 sec)
  2561. INFO:tensorflow:step = 1231, loss = 0.0003654288 (0.231 sec)
  2562. INFO:tensorflow:loss = 1.2092433e-05, step = 1230 (0.230 sec)
  2563. INFO:tensorflow:loss = 5.306803e-05, step = 1230 (0.231 sec)
  2564. INFO:tensorflow:step = 1231, loss = 0.02325578 (0.231 sec)
  2565. INFO:tensorflow:step = 1231, loss = 1.0990493e-06 (0.231 sec)
  2566. INFO:tensorflow:step = 1231, loss = 0.0155078005 (0.231 sec)
  2567. INFO:tensorflow:loss = 6.4400006e-06, step = 1240 (0.247 sec)
  2568. INFO:tensorflow:loss = 2.7318818e-05, step = 1240 (0.247 sec)
  2569. INFO:tensorflow:step = 1241, loss = 0.32140088 (0.248 sec)
  2570. INFO:tensorflow:step = 1241, loss = 1.1920929e-09 (0.247 sec)
  2571. INFO:tensorflow:loss = 0.09651861, step = 1240 (0.248 sec)
  2572. INFO:tensorflow:loss = 0.0026691973, step = 1240 (0.248 sec)
  2573. INFO:tensorflow:loss = 0.0014926498, step = 1240 (0.247 sec)
  2574. INFO:tensorflow:step = 1241, loss = 0.003622781 (0.246 sec)
  2575. INFO:tensorflow:loss = 0.052491106, step = 1240 (0.248 sec)
  2576. INFO:tensorflow:step = 1241, loss = 0.0 (0.248 sec)
  2577. INFO:tensorflow:step = 1241, loss = 0.1692849 (0.247 sec)
  2578. INFO:tensorflow:loss = 0.018091666, step = 1240 (0.248 sec)
  2579. INFO:tensorflow:step = 1241, loss = 7.049582e-05 (0.246 sec)
  2580. INFO:tensorflow:step = 1241, loss = 9.775113e-08 (0.247 sec)
  2581. INFO:tensorflow:step = 1241, loss = 3.5912897e-06 (0.247 sec)
  2582. INFO:tensorflow:loss = 0.0798834, step = 1240 (0.248 sec)
  2583. INFO:tensorflow:Saving checkpoints for 1250 into ./checkpoints/model.ckpt.
  2584. [@nmyjs-202-75 horovod]$
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