我们使用TensorFlow和Keras分别来实现图像风格迁移，主要用到深度学习中的卷积神经网络，即CNN

准备

安装包

pip install numpy scipy tensorflow keras 再准备一些风格图片，和一张内容图片

python版本

使用 python3.6，最新的 python3.7由于keras不支持，所以没办法使用

原理

为了将风格图的风格和内容图的内容进行融合，所生成的图片，在内容上应当尽可能接近内容图，在风格上应当尽可能接近风格图

因此需要定义内容损失函数和风格损失函数，经过加权后作为总的损失函数

实现步骤如下

随机产生一张图片
在每轮迭代中，根据总的损失函数，调整图片的像素值
经过多轮迭代，得到优化后的图片

TensorFlow实现

加载库



In [1]:

    
# 输出靠谱日志必备
import logging
#是否开启debug？根据事件的轻重可分为以下几个级别：
# DEBUG： 详细信息，通常仅在诊断问题时才受到关注。整数level=10
# INFO： 确认程序按预期工作。整数level=20
# WARNING：出现了异常，但是不影响正常工作.整数level=30
# ERROR：由于某些原因，程序 不能执行某些功能。整数level=40
# CRITICAL：严重的错误，导致程序不能运行。整数level=50
# 默认的级别是WARNING,也就意味着只有级别大于等于的才会被看到，跟踪日志的方式可以是写入到文件中，也可以直接输出到控制台。
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')

import tensorflow as tf
import numpy as np
import scipy.io
import scipy.misc
import matplotlib.pyplot as plt
%matplotlib inline
# 读取文件必备
import os,sys,time


def the_current_time():
	logging.info(time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(int(time.time()))))
the_current_time()









    



2018-10-25 18:50:41,574 - root - INFO - 2018-10-25 18:50:41



In [2]:

    
# 定义一些变量
## 图片文件名、路径
CONTENT_IMG , STYLE_IMG , OUTPUT_DIR = 'content.jpg', 'style5.jpg', 'neural_style_transfer_tensorflow/'
if not os.path.exists(OUTPUT_DIR):
	os.mkdir(OUTPUT_DIR)

##  图像大小等
IMAGE_W ,IMAGE_H,COLOR_C=640,960,3
NOISE_RATIO,BETA,ALPHA,VGG_MODEL,MEAN_VALUES  = 0.7,5,100,'imagenet-vgg-verydeep-19.mat',np.array([123.68, 116.779, 103.939]).reshape((1, 1, 1, 3))



In [3]:

    
# 加载VGG19模型

def load_vgg_model(path):
	'''
	Details of the VGG19 model:
	- 0 is conv1_1 (3, 3, 3, 64)
	- 1 is relu
	- 2 is conv1_2 (3, 3, 64, 64)
	- 3 is relu    
	- 4 is maxpool
	- 5 is conv2_1 (3, 3, 64, 128)
	- 6 is relu
	- 7 is conv2_2 (3, 3, 128, 128)
	- 8 is relu
	- 9 is maxpool
	- 10 is conv3_1 (3, 3, 128, 256)
	- 11 is relu
	- 12 is conv3_2 (3, 3, 256, 256)
	- 13 is relu
	- 14 is conv3_3 (3, 3, 256, 256)
	- 15 is relu
	- 16 is conv3_4 (3, 3, 256, 256)
	- 17 is relu
	- 18 is maxpool
	- 19 is conv4_1 (3, 3, 256, 512)
	- 20 is relu
	- 21 is conv4_2 (3, 3, 512, 512)
	- 22 is relu
	- 23 is conv4_3 (3, 3, 512, 512)
	- 24 is relu
	- 25 is conv4_4 (3, 3, 512, 512)
	- 26 is relu
	- 27 is maxpool
	- 28 is conv5_1 (3, 3, 512, 512)
	- 29 is relu
	- 30 is conv5_2 (3, 3, 512, 512)
	- 31 is relu
	- 32 is conv5_3 (3, 3, 512, 512)
	- 33 is relu
	- 34 is conv5_4 (3, 3, 512, 512)
	- 35 is relu
	- 36 is maxpool
	- 37 is fullyconnected (7, 7, 512, 4096)
	- 38 is relu
	- 39 is fullyconnected (1, 1, 4096, 4096)
	- 40 is relu
	- 41 is fullyconnected (1, 1, 4096, 1000)
	- 42 is softmax
	'''
	vgg = scipy.io.loadmat(path)
	print((path,
                  "\n#先显示一下数据类型，发现是dict:type(vgg)",type(vgg),
                  "\n#字典就可以打印出键值dict_keys(['__header__', '__version__', '__globals__', 'layers', 'classes', 'normalization'])vgg.keys()",vgg.keys())
                )
	vgg_layers = vgg['layers']
	print(("layers = vgg['layers']",
                 "\n#打印下layers发现输出一大堆括号，好复杂的样子：[[ array([[ (array([[ array([[[[ ,顶级array有两个[[\n#所以顶层是两维,每一个维数的元素是array,array内部还有维数\n#print(layers)",
                  "\nvgg_layers.shape:",vgg_layers.shape,
                  "\nlayer[0].shape:",vgg_layers[0].shape,
                  "\n#layer[0][0].shape: (1,),说明只有一个元素",
                  "\nlayer[0][0].shape:",vgg_layers[0][0].shape,
                  "\n#layer[0][0][0].shape: (1,),说明只有一个元素",
                  "\nlayer[0][0][0].shape:",vgg_layers[0][0][0].shape,
                  "\n#len(layer[0][0]):5，即weight(含有bias), pad(填充元素,无用), type, name, stride信息",
                  "\nlen(layer[0][0][0]):",len(vgg_layers[0][0][0]),
                  "\n#所以应该能按照如下方式拿到信息，比如说name，输出为['conv1_1']",
                  "\nname:",vgg_layers[0][0][0][0][0][0],
                  "\n#查看一下weights的权重，输出(1,2),再次说明第一维是虚的,weights中包含了weight和bias",
                  "\nlayer[0][0][0][0].shape",vgg_layers[0][0][0][0].shape,
                  "\nlayer[0][0][0][0].len",len(vgg_layers[0][0][0][0]),
                  "\n#weights[0].shape: (2,),weights[0].len: 2说明两个元素就是weight和bias",
                  "\nlayer[0][0][0][0][0].shape:",vgg_layers[0][0][0][0][0].shape,
                  "\nlayer[0][0][0][0].len:",len(vgg_layers[0][0][0][0][0]),
                  "\nlayer[0][0][0][0][0]",vgg_layers[0][0][0][0][0],
                  "\n#解析出weight和bias"
                ))

	def _weights(layer, expected_layer_name):
		W = vgg_layers[0][layer][0][0][2][0][0]
		b = vgg_layers[0][layer][0][0][2][0][1]
		layer_name = vgg_layers[0][layer][0][0][0][0]
		assert layer_name == expected_layer_name
		return W, b

	def _conv2d_relu(prev_layer, layer, layer_name):
		W, b = _weights(layer, layer_name)
		W = tf.constant(W)
		b = tf.constant(np.reshape(b, (b.size)))
		return tf.nn.relu(tf.nn.conv2d(prev_layer, filter=W, strides=[1, 1, 1, 1], padding='SAME') + b)

	def _avgpool(prev_layer):
		return tf.nn.avg_pool(prev_layer, ksize=[1, 2, 2, 1], strides=[1, 2, 2, 1], padding='SAME')

	graph = {}
	graph['input']    = tf.Variable(np.zeros((1, IMAGE_H, IMAGE_W, COLOR_C)), dtype='float32')
	graph['conv1_1']  = _conv2d_relu(graph['input'], 0, 'conv1_1')
	graph['conv1_2']  = _conv2d_relu(graph['conv1_1'], 2, 'conv1_2')
	graph['avgpool1'] = _avgpool(graph['conv1_2'])
	graph['conv2_1']  = _conv2d_relu(graph['avgpool1'], 5, 'conv2_1')
	graph['conv2_2']  = _conv2d_relu(graph['conv2_1'], 7, 'conv2_2')
	graph['avgpool2'] = _avgpool(graph['conv2_2'])
	graph['conv3_1']  = _conv2d_relu(graph['avgpool2'], 10, 'conv3_1')
	graph['conv3_2']  = _conv2d_relu(graph['conv3_1'], 12, 'conv3_2')
	graph['conv3_3']  = _conv2d_relu(graph['conv3_2'], 14, 'conv3_3')
	graph['conv3_4']  = _conv2d_relu(graph['conv3_3'], 16, 'conv3_4')
	graph['avgpool3'] = _avgpool(graph['conv3_4'])
	graph['conv4_1']  = _conv2d_relu(graph['avgpool3'], 19, 'conv4_1')
	graph['conv4_2']  = _conv2d_relu(graph['conv4_1'], 21, 'conv4_2')
	graph['conv4_3']  = _conv2d_relu(graph['conv4_2'], 23, 'conv4_3')
	graph['conv4_4']  = _conv2d_relu(graph['conv4_3'], 25, 'conv4_4')
	graph['avgpool4'] = _avgpool(graph['conv4_4'])
	graph['conv5_1']  = _conv2d_relu(graph['avgpool4'], 28, 'conv5_1')
	graph['conv5_2']  = _conv2d_relu(graph['conv5_1'], 30, 'conv5_2')
	graph['conv5_3']  = _conv2d_relu(graph['conv5_2'], 32, 'conv5_3')
	graph['conv5_4']  = _conv2d_relu(graph['conv5_3'], 34, 'conv5_4')
	graph['avgpool5'] = _avgpool(graph['conv5_4'])
	return graph

# 内容损失函数

def content_loss_func(sess, model):
	def _content_loss(p, x):
		N = p.shape[3]
		M = p.shape[1] * p.shape[2]
		return (1 / (4 * N * M)) * tf.reduce_sum(tf.pow(x - p, 2))
	return _content_loss(sess.run(model['conv4_2']), model['conv4_2'])

# 风格损失函数

STYLE_LAYERS = [('conv1_1', 0.5), ('conv2_1', 1.0), ('conv3_1', 1.5), ('conv4_1', 3.0), ('conv5_1', 4.0)]

def style_loss_func(sess, model):
	def _gram_matrix(F, N, M):
		Ft = tf.reshape(F, (M, N))
		return tf.matmul(tf.transpose(Ft), Ft)

	def _style_loss(a, x):
		N = a.shape[3]
		M = a.shape[1] * a.shape[2]
		A = _gram_matrix(a, N, M)
		G = _gram_matrix(x, N, M)
		return (1 / (4 * N ** 2 * M ** 2)) * tf.reduce_sum(tf.pow(G - A, 2))
	return sum([_style_loss(sess.run(model[layer_name]), model[layer_name]) * w for layer_name, w in STYLE_LAYERS])

# 随机产生一张初始图片，说白了就是图片加噪点，调参选择只调一点点试试看

def generate_noise_image(content_image, noise_ratio=NOISE_RATIO):
	noise_image = np.random.uniform(-11, 11, (1, IMAGE_H, IMAGE_W, COLOR_C)).astype('float32')
	input_image = noise_image * noise_ratio + content_image * (1 - noise_ratio)
	return input_image

# 加载图片

def load_image(path):
	image = scipy.misc.imread(path)
	image = scipy.misc.imresize(image, (IMAGE_H, IMAGE_W))
	image = np.reshape(image, ((1, ) + image.shape))
	image = image - MEAN_VALUES
	return image

# 保存图片

def save_image(path, image):
	image = image + MEAN_VALUES
	image = image[0]
	image = np.clip(image, 0, 255).astype('uint8')
	scipy.misc.imsave(path, image)
	# logging.info("输出图片")
	# plt.imshow(image)
	# plt.axis('off')



In [4]:

    
the_current_time()
logging.info("准备载入神经网络")
with tf.Session() as sess:
	content_image = load_image(CONTENT_IMG)
	style_image = load_image(STYLE_IMG)
	model = load_vgg_model(VGG_MODEL)
	logging.info("VGG_MODEL模型读取 OK")

	input_image = generate_noise_image(content_image)
	sess.run(tf.global_variables_initializer())

	sess.run(model['input'].assign(content_image))
	content_loss = content_loss_func(sess, model)

	sess.run(model['input'].assign(style_image))
	style_loss = style_loss_func(sess, model)

	total_loss = BETA * content_loss + ALPHA * style_loss
	optimizer = tf.train.AdamOptimizer(2.0)
	train = optimizer.minimize(total_loss)

	sess.run(tf.global_variables_initializer())
	sess.run(model['input'].assign(input_image))

	ITERATIONS = 1672
	logging.info("开始干活，神经网络开搞")
	for i in range(ITERATIONS):
		logging.info('循环训练次数：Iteration %d' % i)
		sess.run(train)
		if i % 19 == 0:
			output_image = sess.run(model['input'])
			# show_feature(output_image) # 想看哪一层输出？show_feature(sess.run(model['input']))
			print('输出图片：循环训练次数：Iteration %d' % i)
			logging.info(('Cost: ' , sess.run(total_loss)))
			save_image(os.path.join(OUTPUT_DIR, 'output%d.jpg' % i), output_image)









    



2018-10-25 18:50:41,698 - root - INFO - 2018-10-25 18:50:41
2018-10-25 18:50:41,700 - root - INFO - 准备载入神经网络
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/ipykernel_launcher.py:155: DeprecationWarning: `imread` is deprecated!
`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.
Use ``imageio.imread`` instead.
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/ipykernel_launcher.py:156: DeprecationWarning: `imresize` is deprecated!
`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.
Use ``skimage.transform.resize`` instead.






    



('imagenet-vgg-verydeep-19.mat', '\n#先显示一下数据类型，发现是dict:type(vgg)', <class 'dict'>, "\n#字典就可以打印出键值dict_keys(['__header__', '__version__', '__globals__', 'layers', 'classes', 'normalization'])vgg.keys()", dict_keys(['__header__', '__version__', '__globals__', 'layers', 'meta']))
("layers = vgg['layers']", '\n#打印下layers发现输出一大堆括号，好复杂的样子：[[ array([[ (array([[ array([[[[ ,顶级array有两个[[\n#所以顶层是两维,每一个维数的元素是array,array内部还有维数\n#print(layers)', '\nvgg_layers.shape:', (1, 43), '\nlayer[0].shape:', (43,), '\n#layer[0][0].shape: (1,),说明只有一个元素', '\nlayer[0][0].shape:', (1, 1), '\n#layer[0][0][0].shape: (1,),说明只有一个元素', '\nlayer[0][0][0].shape:', (1,), '\n#len(layer[0][0]):5，即weight(含有bias), pad(填充元素,无用), type, name, stride信息', '\nlen(layer[0][0][0]):', 1, "\n#所以应该能按照如下方式拿到信息，比如说name，输出为['conv1_1']", '\nname:', 'conv1_1', '\n#查看一下weights的权重，输出(1,2),再次说明第一维是虚的,weights中包含了weight和bias', '\nlayer[0][0][0][0].shape', (), '\nlayer[0][0][0][0].len', 9, '\n#weights[0].shape: (2,),weights[0].len: 2说明两个元素就是weight和bias', '\nlayer[0][0][0][0][0].shape:', (1,), '\nlayer[0][0][0][0].len:', 1, '\nlayer[0][0][0][0][0]', array(['conv1_1'], dtype='<U7'), '\n#解析出weight和bias')






    



2018-10-25 18:50:51,009 - root - INFO - VGG_MODEL模型读取 OK
2018-10-25 18:51:49,854 - root - INFO - 开始干活，神经网络开搞
2018-10-25 18:51:49,855 - root - INFO - 循环训练次数：Iteration 0






    



输出图片：循环训练次数：Iteration 0






    



2018-10-25 18:53:43,351 - root - INFO - ('Cost: ', 452874830000.0)
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/ipykernel_launcher.py:167: DeprecationWarning: `imsave` is deprecated!
`imsave` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.
Use ``imageio.imwrite`` instead.
2018-10-25 18:53:43,457 - root - INFO - 循环训练次数：Iteration 1
2018-10-25 18:54:11,034 - root - INFO - 循环训练次数：Iteration 2
2018-10-25 18:54:36,035 - root - INFO - 循环训练次数：Iteration 3
2018-10-25 18:55:00,563 - root - INFO - 循环训练次数：Iteration 4
2018-10-25 18:55:24,023 - root - INFO - 循环训练次数：Iteration 5
2018-10-25 18:55:48,786 - root - INFO - 循环训练次数：Iteration 6
2018-10-25 18:56:13,556 - root - INFO - 循环训练次数：Iteration 7
2018-10-25 18:56:39,862 - root - INFO - 循环训练次数：Iteration 8
2018-10-25 18:57:09,421 - root - INFO - 循环训练次数：Iteration 9
2018-10-25 18:57:34,554 - root - INFO - 循环训练次数：Iteration 10
2018-10-25 18:57:59,675 - root - INFO - 循环训练次数：Iteration 11
2018-10-25 18:58:23,233 - root - INFO - 循环训练次数：Iteration 12
2018-10-25 18:58:46,608 - root - INFO - 循环训练次数：Iteration 13
2018-10-25 18:59:14,153 - root - INFO - 循环训练次数：Iteration 14
2018-10-25 18:59:36,864 - root - INFO - 循环训练次数：Iteration 15
2018-10-25 18:59:59,577 - root - INFO - 循环训练次数：Iteration 16
2018-10-25 19:00:22,595 - root - INFO - 循环训练次数：Iteration 17
2018-10-25 19:00:44,500 - root - INFO - 循环训练次数：Iteration 18
2018-10-25 19:01:06,735 - root - INFO - 循环训练次数：Iteration 19






    



输出图片：循环训练次数：Iteration 19






    



2018-10-25 19:01:36,946 - root - INFO - ('Cost: ', 188288300000.0)
2018-10-25 19:01:37,026 - root - INFO - 循环训练次数：Iteration 20
2018-10-25 19:02:02,555 - root - INFO - 循环训练次数：Iteration 21
2018-10-25 19:02:27,739 - root - INFO - 循环训练次数：Iteration 22
2018-10-25 19:02:50,658 - root - INFO - 循环训练次数：Iteration 23
2018-10-25 19:03:12,954 - root - INFO - 循环训练次数：Iteration 24
2018-10-25 19:03:39,654 - root - INFO - 循环训练次数：Iteration 25
2018-10-25 19:04:06,926 - root - INFO - 循环训练次数：Iteration 26
2018-10-25 19:04:33,822 - root - INFO - 循环训练次数：Iteration 27
2018-10-25 19:04:57,993 - root - INFO - 循环训练次数：Iteration 28
2018-10-25 19:05:21,818 - root - INFO - 循环训练次数：Iteration 29
2018-10-25 19:05:45,336 - root - INFO - 循环训练次数：Iteration 30
2018-10-25 19:06:10,284 - root - INFO - 循环训练次数：Iteration 31
2018-10-25 19:06:36,518 - root - INFO - 循环训练次数：Iteration 32
2018-10-25 19:07:04,585 - root - INFO - 循环训练次数：Iteration 33
2018-10-25 19:07:30,393 - root - INFO - 循环训练次数：Iteration 34
2018-10-25 19:07:56,630 - root - INFO - 循环训练次数：Iteration 35
2018-10-25 19:08:22,888 - root - INFO - 循环训练次数：Iteration 36
2018-10-25 19:08:46,861 - root - INFO - 循环训练次数：Iteration 37
2018-10-25 19:09:09,733 - root - INFO - 循环训练次数：Iteration 38






    



输出图片：循环训练次数：Iteration 38






    



2018-10-25 19:09:47,710 - root - INFO - ('Cost: ', 107553284000.0)
2018-10-25 19:09:47,805 - root - INFO - 循环训练次数：Iteration 39
2018-10-25 19:10:12,701 - root - INFO - 循环训练次数：Iteration 40
2018-10-25 19:10:34,533 - root - INFO - 循环训练次数：Iteration 41
2018-10-25 19:10:55,940 - root - INFO - 循环训练次数：Iteration 42
2018-10-25 19:11:17,659 - root - INFO - 循环训练次数：Iteration 43
2018-10-25 19:11:41,514 - root - INFO - 循环训练次数：Iteration 44
2018-10-25 19:12:04,751 - root - INFO - 循环训练次数：Iteration 45
2018-10-25 19:12:26,119 - root - INFO - 循环训练次数：Iteration 46
2018-10-25 19:12:48,645 - root - INFO - 循环训练次数：Iteration 47
2018-10-25 19:13:09,007 - root - INFO - 循环训练次数：Iteration 48
2018-10-25 19:13:31,436 - root - INFO - 循环训练次数：Iteration 49
2018-10-25 19:13:52,225 - root - INFO - 循环训练次数：Iteration 50
2018-10-25 19:14:18,844 - root - INFO - 循环训练次数：Iteration 51
2018-10-25 19:14:44,452 - root - INFO - 循环训练次数：Iteration 52
2018-10-25 19:15:10,266 - root - INFO - 循环训练次数：Iteration 53
2018-10-25 19:15:44,304 - root - INFO - 循环训练次数：Iteration 54
2018-10-25 19:16:09,668 - root - INFO - 循环训练次数：Iteration 55
2018-10-25 19:16:33,707 - root - INFO - 循环训练次数：Iteration 56
2018-10-25 19:16:57,888 - root - INFO - 循环训练次数：Iteration 57






    



输出图片：循环训练次数：Iteration 57






    



2018-10-25 19:17:27,880 - root - INFO - ('Cost: ', 71583924000.0)
2018-10-25 19:17:27,965 - root - INFO - 循环训练次数：Iteration 58
2018-10-25 19:17:52,958 - root - INFO - 循环训练次数：Iteration 59
2018-10-25 19:18:17,887 - root - INFO - 循环训练次数：Iteration 60
2018-10-25 19:18:44,349 - root - INFO - 循环训练次数：Iteration 61
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输出图片：循环训练次数：Iteration 76






    



2018-10-25 19:55:02,125 - root - INFO - ('Cost: ', 53472630000.0)
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输出图片：循环训练次数：Iteration 95






    



2018-10-25 20:08:01,634 - root - INFO - ('Cost: ', 43289534000.0)
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输出图片：循环训练次数：Iteration 114






    



2018-10-25 20:23:27,555 - root - INFO - ('Cost: ', 36799873000.0)
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输出图片：循环训练次数：Iteration 133






    



2018-10-25 20:39:02,009 - root - INFO - ('Cost: ', 32203846000.0)
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输出图片：循环训练次数：Iteration 152






    



2018-10-25 20:55:33,261 - root - INFO - ('Cost: ', 28729784000.0)
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输出图片：循环训练次数：Iteration 171






    



2018-10-25 21:12:13,985 - root - INFO - ('Cost: ', 25953618000.0)
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输出图片：循环训练次数：Iteration 190






    



2018-10-25 21:28:39,209 - root - INFO - ('Cost: ', 23653183000.0)
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输出图片：循环训练次数：Iteration 209






    



2018-10-25 21:44:48,074 - root - INFO - ('Cost: ', 21710460000.0)
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输出图片：循环训练次数：Iteration 228






    



2018-10-25 22:00:18,866 - root - INFO - ('Cost: ', 20020950000.0)
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输出图片：循环训练次数：Iteration 247






    



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输出图片：循环训练次数：Iteration 266






    



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输出图片：循环训练次数：Iteration 285






    



2018-10-25 22:45:57,424 - root - INFO - ('Cost: ', 16000462000.0)
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输出图片：循环训练次数：Iteration 304






    



2018-10-25 23:01:22,669 - root - INFO - ('Cost: ', 14919831000.0)
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输出图片：循环训练次数：Iteration 323






    



2018-10-25 23:17:23,192 - root - INFO - ('Cost: ', 13927075000.0)
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输出图片：循环训练次数：Iteration 342






    



2018-10-25 23:33:34,235 - root - INFO - ('Cost: ', 13011556000.0)
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输出图片：循环训练次数：Iteration 361






    



2018-10-25 23:49:42,433 - root - INFO - ('Cost: ', 12166985000.0)
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输出图片：循环训练次数：Iteration 380






    



2018-10-26 00:05:37,925 - root - INFO - ('Cost: ', 11386473000.0)
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输出图片：循环训练次数：Iteration 399






    



2018-10-26 00:21:15,876 - root - INFO - ('Cost: ', 10664712000.0)
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输出图片：循环训练次数：Iteration 418






    



2018-10-26 00:36:53,476 - root - INFO - ('Cost: ', 9995479000.0)
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输出图片：循环训练次数：Iteration 437






    



2018-10-26 00:52:29,141 - root - INFO - ('Cost: ', 9371697000.0)
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输出图片：循环训练次数：Iteration 456






    



2018-10-26 01:08:17,336 - root - INFO - ('Cost: ', 8789830000.0)
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输出图片：循环训练次数：Iteration 475






    



2018-10-26 01:24:01,542 - root - INFO - ('Cost: ', 8246691000.0)
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输出图片：循环训练次数：Iteration 494






    



2018-10-26 01:39:21,148 - root - INFO - ('Cost: ', 7738841000.0)
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输出图片：循环训练次数：Iteration 513






    



2018-10-26 01:54:33,292 - root - INFO - ('Cost: ', 7265667600.0)
2018-10-26 01:54:33,476 - root - INFO - 循环训练次数：Iteration 514
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2018-10-26 02:00:02,815 - root - INFO - 循环训练次数：Iteration 521
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输出图片：循环训练次数：Iteration 532






    



2018-10-26 02:09:30,740 - root - INFO - ('Cost: ', 6821237000.0)
2018-10-26 02:09:30,942 - root - INFO - 循环训练次数：Iteration 533
2018-10-26 02:10:21,370 - root - INFO - 循环训练次数：Iteration 534
2018-10-26 02:11:05,726 - root - INFO - 循环训练次数：Iteration 535
2018-10-26 02:11:51,105 - root - INFO - 循环训练次数：Iteration 536
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2018-10-26 02:17:58,941 - root - INFO - 循环训练次数：Iteration 544
2018-10-26 02:18:46,767 - root - INFO - 循环训练次数：Iteration 545
2018-10-26 02:19:33,255 - root - INFO - 循环训练次数：Iteration 546
2018-10-26 02:20:19,044 - root - INFO - 循环训练次数：Iteration 547
2018-10-26 02:21:05,672 - root - INFO - 循环训练次数：Iteration 548
2018-10-26 02:21:52,429 - root - INFO - 循环训练次数：Iteration 549
2018-10-26 02:22:37,249 - root - INFO - 循环训练次数：Iteration 550
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输出图片：循环训练次数：Iteration 551






    



2018-10-26 02:24:31,486 - root - INFO - ('Cost: ', 6404177000.0)
2018-10-26 02:24:31,689 - root - INFO - 循环训练次数：Iteration 552
2018-10-26 02:25:19,475 - root - INFO - 循环训练次数：Iteration 553
2018-10-26 02:26:04,352 - root - INFO - 循环训练次数：Iteration 554
2018-10-26 02:26:51,921 - root - INFO - 循环训练次数：Iteration 555
2018-10-26 02:27:33,230 - root - INFO - 循环训练次数：Iteration 556
2018-10-26 02:28:18,960 - root - INFO - 循环训练次数：Iteration 557
2018-10-26 02:29:05,679 - root - INFO - 循环训练次数：Iteration 558
2018-10-26 02:29:51,594 - root - INFO - 循环训练次数：Iteration 559
2018-10-26 02:30:39,895 - root - INFO - 循环训练次数：Iteration 560
2018-10-26 02:31:24,650 - root - INFO - 循环训练次数：Iteration 561
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2018-10-26 02:32:57,151 - root - INFO - 循环训练次数：Iteration 563
2018-10-26 02:33:38,613 - root - INFO - 循环训练次数：Iteration 564
2018-10-26 02:34:26,815 - root - INFO - 循环训练次数：Iteration 565
2018-10-26 02:35:12,827 - root - INFO - 循环训练次数：Iteration 566
2018-10-26 02:35:59,612 - root - INFO - 循环训练次数：Iteration 567
2018-10-26 02:36:41,951 - root - INFO - 循环训练次数：Iteration 568
2018-10-26 02:37:32,066 - root - INFO - 循环训练次数：Iteration 569
2018-10-26 02:38:17,047 - root - INFO - 循环训练次数：Iteration 570






    



输出图片：循环训练次数：Iteration 570






    



2018-10-26 02:39:21,687 - root - INFO - ('Cost: ', 6018481700.0)
2018-10-26 02:39:21,873 - root - INFO - 循环训练次数：Iteration 571
2018-10-26 02:40:12,087 - root - INFO - 循环训练次数：Iteration 572
2018-10-26 02:40:56,452 - root - INFO - 循环训练次数：Iteration 573
2018-10-26 02:41:41,611 - root - INFO - 循环训练次数：Iteration 574
2018-10-26 02:42:28,700 - root - INFO - 循环训练次数：Iteration 575
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2018-10-26 02:44:00,175 - root - INFO - 循环训练次数：Iteration 577
2018-10-26 02:44:46,168 - root - INFO - 循环训练次数：Iteration 578
2018-10-26 02:45:28,301 - root - INFO - 循环训练次数：Iteration 579
2018-10-26 02:46:15,448 - root - INFO - 循环训练次数：Iteration 580
2018-10-26 02:47:01,410 - root - INFO - 循环训练次数：Iteration 581
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2018-10-26 02:48:34,384 - root - INFO - 循环训练次数：Iteration 583
2018-10-26 02:49:15,842 - root - INFO - 循环训练次数：Iteration 584
2018-10-26 02:50:01,222 - root - INFO - 循环训练次数：Iteration 585
2018-10-26 02:50:44,651 - root - INFO - 循环训练次数：Iteration 586
2018-10-26 02:51:30,388 - root - INFO - 循环训练次数：Iteration 587
2018-10-26 02:52:20,033 - root - INFO - 循环训练次数：Iteration 588
2018-10-26 02:53:03,987 - root - INFO - 循环训练次数：Iteration 589






    



输出图片：循环训练次数：Iteration 589






    



2018-10-26 02:54:13,025 - root - INFO - ('Cost: ', 5660412000.0)
2018-10-26 02:54:13,230 - root - INFO - 循环训练次数：Iteration 590
2018-10-26 02:55:01,497 - root - INFO - 循环训练次数：Iteration 591
2018-10-26 02:55:43,534 - root - INFO - 循环训练次数：Iteration 592
2018-10-26 02:56:32,866 - root - INFO - 循环训练次数：Iteration 593
2018-10-26 02:57:15,541 - root - INFO - 循环训练次数：Iteration 594
2018-10-26 02:58:01,033 - root - INFO - 循环训练次数：Iteration 595
2018-10-26 02:58:46,372 - root - INFO - 循环训练次数：Iteration 596
2018-10-26 02:59:27,795 - root - INFO - 循环训练次数：Iteration 597
2018-10-26 03:00:15,710 - root - INFO - 循环训练次数：Iteration 598
2018-10-26 03:00:59,709 - root - INFO - 循环训练次数：Iteration 599
2018-10-26 03:01:45,650 - root - INFO - 循环训练次数：Iteration 600
2018-10-26 03:02:34,623 - root - INFO - 循环训练次数：Iteration 601
2018-10-26 03:03:16,236 - root - INFO - 循环训练次数：Iteration 602
2018-10-26 03:04:01,467 - root - INFO - 循环训练次数：Iteration 603
2018-10-26 03:04:47,668 - root - INFO - 循环训练次数：Iteration 604
2018-10-26 03:05:35,863 - root - INFO - 循环训练次数：Iteration 605
2018-10-26 03:06:17,377 - root - INFO - 循环训练次数：Iteration 606
2018-10-26 03:07:02,182 - root - INFO - 循环训练次数：Iteration 607
2018-10-26 03:07:47,450 - root - INFO - 循环训练次数：Iteration 608






    



输出图片：循环训练次数：Iteration 608






    



2018-10-26 03:08:52,135 - root - INFO - ('Cost: ', 5329719300.0)
2018-10-26 03:08:52,335 - root - INFO - 循环训练次数：Iteration 609
2018-10-26 03:09:43,214 - root - INFO - 循环训练次数：Iteration 610
2018-10-26 03:10:24,624 - root - INFO - 循环训练次数：Iteration 611
2018-10-26 03:11:10,596 - root - INFO - 循环训练次数：Iteration 612
2018-10-26 03:11:56,090 - root - INFO - 循环训练次数：Iteration 613
2018-10-26 03:12:37,685 - root - INFO - 循环训练次数：Iteration 614
2018-10-26 03:13:25,695 - root - INFO - 循环训练次数：Iteration 615
2018-10-26 03:14:07,279 - root - INFO - 循环训练次数：Iteration 616
2018-10-26 03:14:55,589 - root - INFO - 循环训练次数：Iteration 617
2018-10-26 03:15:38,046 - root - INFO - 循环训练次数：Iteration 618
2018-10-26 03:16:28,092 - root - INFO - 循环训练次数：Iteration 619
2018-10-26 03:17:09,309 - root - INFO - 循环训练次数：Iteration 620
2018-10-26 03:17:56,300 - root - INFO - 循环训练次数：Iteration 621
2018-10-26 03:18:48,214 - root - INFO - 循环训练次数：Iteration 622
2018-10-26 03:19:29,669 - root - INFO - 循环训练次数：Iteration 623
2018-10-26 03:20:18,955 - root - INFO - 循环训练次数：Iteration 624
2018-10-26 03:21:00,251 - root - INFO - 循环训练次数：Iteration 625
2018-10-26 03:21:45,011 - root - INFO - 循环训练次数：Iteration 626
2018-10-26 03:22:28,773 - root - INFO - 循环训练次数：Iteration 627






    



输出图片：循环训练次数：Iteration 627






    



2018-10-26 03:23:30,507 - root - INFO - ('Cost: ', 5020580000.0)
2018-10-26 03:23:30,715 - root - INFO - 循环训练次数：Iteration 628
2018-10-26 03:24:18,389 - root - INFO - 循环训练次数：Iteration 629
2018-10-26 03:25:00,127 - root - INFO - 循环训练次数：Iteration 630
2018-10-26 03:25:45,758 - root - INFO - 循环训练次数：Iteration 631
2018-10-26 03:26:29,965 - root - INFO - 循环训练次数：Iteration 632
2018-10-26 03:27:11,519 - root - INFO - 循环训练次数：Iteration 633
2018-10-26 03:28:01,234 - root - INFO - 循环训练次数：Iteration 634
2018-10-26 03:28:43,134 - root - INFO - 循环训练次数：Iteration 635
2018-10-26 03:29:28,427 - root - INFO - 循环训练次数：Iteration 636
2018-10-26 03:30:14,123 - root - INFO - 循环训练次数：Iteration 637
2018-10-26 03:30:59,295 - root - INFO - 循环训练次数：Iteration 638
2018-10-26 03:31:41,070 - root - INFO - 循环训练次数：Iteration 639
2018-10-26 03:32:27,353 - root - INFO - 循环训练次数：Iteration 640
2018-10-26 03:33:12,042 - root - INFO - 循环训练次数：Iteration 641
2018-10-26 03:33:57,785 - root - INFO - 循环训练次数：Iteration 642
2018-10-26 03:34:42,166 - root - INFO - 循环训练次数：Iteration 643
2018-10-26 03:35:23,702 - root - INFO - 循环训练次数：Iteration 644
2018-10-26 03:36:10,326 - root - INFO - 循环训练次数：Iteration 645
2018-10-26 03:36:52,597 - root - INFO - 循环训练次数：Iteration 646






    



输出图片：循环训练次数：Iteration 646






    



2018-10-26 03:38:02,284 - root - INFO - ('Cost: ', 4734578000.0)
2018-10-26 03:38:02,468 - root - INFO - 循环训练次数：Iteration 647
2018-10-26 03:38:45,898 - root - INFO - 循环训练次数：Iteration 648
2018-10-26 03:39:27,254 - root - INFO - 循环训练次数：Iteration 649
2018-10-26 03:40:17,209 - root - INFO - 循环训练次数：Iteration 650
2018-10-26 03:41:00,726 - root - INFO - 循环训练次数：Iteration 651
2018-10-26 03:41:47,060 - root - INFO - 循环训练次数：Iteration 652
2018-10-26 03:42:28,984 - root - INFO - 循环训练次数：Iteration 653
2018-10-26 03:43:18,472 - root - INFO - 循环训练次数：Iteration 654
2018-10-26 03:43:59,857 - root - INFO - 循环训练次数：Iteration 655
2018-10-26 03:44:44,341 - root - INFO - 循环训练次数：Iteration 656
2018-10-26 03:45:25,955 - root - INFO - 循环训练次数：Iteration 657
2018-10-26 03:46:11,943 - root - INFO - 循环训练次数：Iteration 658
2018-10-26 03:46:54,619 - root - INFO - 循环训练次数：Iteration 659
2018-10-26 03:47:40,167 - root - INFO - 循环训练次数：Iteration 660
2018-10-26 03:48:21,471 - root - INFO - 循环训练次数：Iteration 661
2018-10-26 03:49:07,148 - root - INFO - 循环训练次数：Iteration 662
2018-10-26 03:49:49,406 - root - INFO - 循环训练次数：Iteration 663
2018-10-26 03:50:33,628 - root - INFO - 循环训练次数：Iteration 664
2018-10-26 03:51:19,550 - root - INFO - 循环训练次数：Iteration 665






    



输出图片：循环训练次数：Iteration 665






    



2018-10-26 03:52:23,040 - root - INFO - ('Cost: ', 4469838300.0)
2018-10-26 03:52:23,229 - root - INFO - 循环训练次数：Iteration 666
2018-10-26 03:53:13,270 - root - INFO - 循环训练次数：Iteration 667
2018-10-26 03:53:55,548 - root - INFO - 循环训练次数：Iteration 668
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2018-10-26 03:57:41,583 - root - INFO - 循环训练次数：Iteration 673
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2018-10-26 03:59:09,227 - root - INFO - 循环训练次数：Iteration 675
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2018-10-26 04:02:08,033 - root - INFO - 循环训练次数：Iteration 679
2018-10-26 04:02:56,294 - root - INFO - 循环训练次数：Iteration 680
2018-10-26 04:03:37,450 - root - INFO - 循环训练次数：Iteration 681
2018-10-26 04:04:20,163 - root - INFO - 循环训练次数：Iteration 682
2018-10-26 04:05:10,835 - root - INFO - 循环训练次数：Iteration 683
2018-10-26 04:05:52,828 - root - INFO - 循环训练次数：Iteration 684






    



输出图片：循环训练次数：Iteration 684






    



2018-10-26 04:06:55,383 - root - INFO - ('Cost: ', 4227282400.0)
2018-10-26 04:06:55,587 - root - INFO - 循环训练次数：Iteration 685
2018-10-26 04:07:43,760 - root - INFO - 循环训练次数：Iteration 686
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2018-10-26 04:17:38,849 - root - INFO - 循环训练次数：Iteration 700
2018-10-26 04:18:31,364 - root - INFO - 循环训练次数：Iteration 701
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2018-10-26 04:19:55,121 - root - INFO - 循环训练次数：Iteration 703






    



输出图片：循环训练次数：Iteration 703






    



2018-10-26 04:20:56,984 - root - INFO - ('Cost: ', 4001215500.0)
2018-10-26 04:20:57,166 - root - INFO - 循环训练次数：Iteration 704
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2018-10-26 04:25:13,891 - root - INFO - 循环训练次数：Iteration 710
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2018-10-26 04:26:41,144 - root - INFO - 循环训练次数：Iteration 712
2018-10-26 04:27:23,030 - root - INFO - 循环训练次数：Iteration 713
2018-10-26 04:28:08,811 - root - INFO - 循环训练次数：Iteration 714
2018-10-26 04:28:50,155 - root - INFO - 循环训练次数：Iteration 715
2018-10-26 04:29:31,820 - root - INFO - 循环训练次数：Iteration 716
2018-10-26 04:30:18,966 - root - INFO - 循环训练次数：Iteration 717
2018-10-26 04:31:00,179 - root - INFO - 循环训练次数：Iteration 718
2018-10-26 04:31:41,883 - root - INFO - 循环训练次数：Iteration 719
2018-10-26 04:32:25,162 - root - INFO - 循环训练次数：Iteration 720
2018-10-26 04:33:06,327 - root - INFO - 循环训练次数：Iteration 721
2018-10-26 04:33:49,657 - root - INFO - 循环训练次数：Iteration 722






    



输出图片：循环训练次数：Iteration 722






    



2018-10-26 04:34:50,399 - root - INFO - ('Cost: ', 3789045200.0)
2018-10-26 04:34:50,593 - root - INFO - 循环训练次数：Iteration 723
2018-10-26 04:35:35,239 - root - INFO - 循环训练次数：Iteration 724
2018-10-26 04:36:17,261 - root - INFO - 循环训练次数：Iteration 725
2018-10-26 04:36:59,359 - root - INFO - 循环训练次数：Iteration 726
2018-10-26 04:37:41,316 - root - INFO - 循环训练次数：Iteration 727
2018-10-26 04:38:26,245 - root - INFO - 循环训练次数：Iteration 728
2018-10-26 04:39:08,206 - root - INFO - 循环训练次数：Iteration 729
2018-10-26 04:39:50,052 - root - INFO - 循环训练次数：Iteration 730
2018-10-26 04:40:34,040 - root - INFO - 循环训练次数：Iteration 731
2018-10-26 04:41:15,454 - root - INFO - 循环训练次数：Iteration 732
2018-10-26 04:41:57,370 - root - INFO - 循环训练次数：Iteration 733
2018-10-26 04:42:43,637 - root - INFO - 循环训练次数：Iteration 734
2018-10-26 04:43:24,887 - root - INFO - 循环训练次数：Iteration 735
2018-10-26 04:44:06,247 - root - INFO - 循环训练次数：Iteration 736
2018-10-26 04:44:47,889 - root - INFO - 循环训练次数：Iteration 737
2018-10-26 04:45:32,869 - root - INFO - 循环训练次数：Iteration 738
2018-10-26 04:46:14,890 - root - INFO - 循环训练次数：Iteration 739
2018-10-26 04:46:57,811 - root - INFO - 循环训练次数：Iteration 740
2018-10-26 04:47:39,338 - root - INFO - 循环训练次数：Iteration 741






    



输出图片：循环训练次数：Iteration 741






    



2018-10-26 04:48:42,244 - root - INFO - ('Cost: ', 3590786800.0)
2018-10-26 04:48:42,437 - root - INFO - 循环训练次数：Iteration 742
2018-10-26 04:49:25,725 - root - INFO - 循环训练次数：Iteration 743
2018-10-26 04:50:11,659 - root - INFO - 循环训练次数：Iteration 744
2018-10-26 04:50:52,991 - root - INFO - 循环训练次数：Iteration 745
2018-10-26 04:51:34,722 - root - INFO - 循环训练次数：Iteration 746
2018-10-26 04:52:20,436 - root - INFO - 循环训练次数：Iteration 747
2018-10-26 04:53:01,661 - root - INFO - 循环训练次数：Iteration 748
2018-10-26 04:53:43,551 - root - INFO - 循环训练次数：Iteration 749
2018-10-26 04:54:29,061 - root - INFO - 循环训练次数：Iteration 750
2018-10-26 04:55:11,360 - root - INFO - 循环训练次数：Iteration 751
2018-10-26 04:55:53,089 - root - INFO - 循环训练次数：Iteration 752
2018-10-26 04:56:38,390 - root - INFO - 循环训练次数：Iteration 753
2018-10-26 04:57:20,499 - root - INFO - 循环训练次数：Iteration 754
2018-10-26 04:58:03,741 - root - INFO - 循环训练次数：Iteration 755
2018-10-26 04:58:45,607 - root - INFO - 循环训练次数：Iteration 756
2018-10-26 04:59:31,150 - root - INFO - 循环训练次数：Iteration 757
2018-10-26 05:00:12,824 - root - INFO - 循环训练次数：Iteration 758
2018-10-26 05:00:54,532 - root - INFO - 循环训练次数：Iteration 759
2018-10-26 05:01:40,355 - root - INFO - 循环训练次数：Iteration 760






    



输出图片：循环训练次数：Iteration 760






    



2018-10-26 05:02:42,486 - root - INFO - ('Cost: ', 3402888000.0)
2018-10-26 05:02:42,666 - root - INFO - 循环训练次数：Iteration 761
2018-10-26 05:03:28,698 - root - INFO - 循环训练次数：Iteration 762
2018-10-26 05:04:10,141 - root - INFO - 循环训练次数：Iteration 763
2018-10-26 05:04:51,697 - root - INFO - 循环训练次数：Iteration 764
2018-10-26 05:05:33,162 - root - INFO - 循环训练次数：Iteration 765
2018-10-26 05:06:14,880 - root - INFO - 循环训练次数：Iteration 766
2018-10-26 05:07:02,728 - root - INFO - 循环训练次数：Iteration 767
2018-10-26 05:07:44,392 - root - INFO - 循环训练次数：Iteration 768
2018-10-26 05:08:31,089 - root - INFO - 循环训练次数：Iteration 769
2018-10-26 05:09:12,372 - root - INFO - 循环训练次数：Iteration 770
2018-10-26 05:09:56,360 - root - INFO - 循环训练次数：Iteration 771
2018-10-26 05:10:38,109 - root - INFO - 循环训练次数：Iteration 772
2018-10-26 05:11:24,430 - root - INFO - 循环训练次数：Iteration 773
2018-10-26 05:12:06,932 - root - INFO - 循环训练次数：Iteration 774
2018-10-26 05:12:48,635 - root - INFO - 循环训练次数：Iteration 775
2018-10-26 05:13:34,641 - root - INFO - 循环训练次数：Iteration 776
2018-10-26 05:14:16,424 - root - INFO - 循环训练次数：Iteration 777
2018-10-26 05:14:59,437 - root - INFO - 循环训练次数：Iteration 778
2018-10-26 05:15:41,363 - root - INFO - 循环训练次数：Iteration 779






    



输出图片：循环训练次数：Iteration 779






    



2018-10-26 05:16:48,504 - root - INFO - ('Cost: ', 3226648300.0)
2018-10-26 05:16:48,700 - root - INFO - 循环训练次数：Iteration 780
2018-10-26 05:17:32,082 - root - INFO - 循环训练次数：Iteration 781
2018-10-26 05:18:22,721 - root - INFO - 循环训练次数：Iteration 782
2018-10-26 05:19:05,019 - root - INFO - 循环训练次数：Iteration 783
2018-10-26 05:19:50,755 - root - INFO - 循环训练次数：Iteration 784
2018-10-26 05:20:32,026 - root - INFO - 循环训练次数：Iteration 785
2018-10-26 05:21:13,567 - root - INFO - 循环训练次数：Iteration 786
2018-10-26 05:21:54,950 - root - INFO - 循环训练次数：Iteration 787
2018-10-26 05:22:37,052 - root - INFO - 循环训练次数：Iteration 788
2018-10-26 05:23:21,140 - root - INFO - 循环训练次数：Iteration 789
2018-10-26 05:24:03,549 - root - INFO - 循环训练次数：Iteration 790
2018-10-26 05:24:45,084 - root - INFO - 循环训练次数：Iteration 791
2018-10-26 05:25:28,713 - root - INFO - 循环训练次数：Iteration 792
2018-10-26 05:26:10,201 - root - INFO - 循环训练次数：Iteration 793
2018-10-26 05:26:51,786 - root - INFO - 循环训练次数：Iteration 794
2018-10-26 05:27:35,193 - root - INFO - 循环训练次数：Iteration 795
2018-10-26 05:28:16,243 - root - INFO - 循环训练次数：Iteration 796
2018-10-26 05:29:00,382 - root - INFO - 循环训练次数：Iteration 797
2018-10-26 05:29:40,959 - root - INFO - 循环训练次数：Iteration 798






    



输出图片：循环训练次数：Iteration 798






    



2018-10-26 05:30:42,308 - root - INFO - ('Cost: ', 3064550700.0)
2018-10-26 05:30:42,490 - root - INFO - 循环训练次数：Iteration 799
2018-10-26 05:31:25,208 - root - INFO - 循环训练次数：Iteration 800
2018-10-26 05:32:10,612 - root - INFO - 循环训练次数：Iteration 801
2018-10-26 05:32:51,978 - root - INFO - 循环训练次数：Iteration 802
2018-10-26 05:33:33,123 - root - INFO - 循环训练次数：Iteration 803
2018-10-26 05:34:16,807 - root - INFO - 循环训练次数：Iteration 804
2018-10-26 05:34:57,712 - root - INFO - 循环训练次数：Iteration 805
2018-10-26 05:35:42,621 - root - INFO - 循环训练次数：Iteration 806
2018-10-26 05:36:23,644 - root - INFO - 循环训练次数：Iteration 807
2018-10-26 05:37:05,215 - root - INFO - 循环训练次数：Iteration 808
2018-10-26 05:37:46,914 - root - INFO - 循环训练次数：Iteration 809
2018-10-26 05:38:29,544 - root - INFO - 循环训练次数：Iteration 810
2018-10-26 05:39:11,528 - root - INFO - 循环训练次数：Iteration 811
2018-10-26 05:39:53,004 - root - INFO - 循环训练次数：Iteration 812
2018-10-26 05:40:35,880 - root - INFO - 循环训练次数：Iteration 813
2018-10-26 05:41:16,943 - root - INFO - 循环训练次数：Iteration 814
2018-10-26 05:42:01,319 - root - INFO - 循环训练次数：Iteration 815
2018-10-26 05:42:42,317 - root - INFO - 循环训练次数：Iteration 816
2018-10-26 05:43:24,302 - root - INFO - 循环训练次数：Iteration 817






    



输出图片：循环训练次数：Iteration 817






    



2018-10-26 05:44:24,545 - root - INFO - ('Cost: ', 2911826400.0)
2018-10-26 05:44:24,724 - root - INFO - 循环训练次数：Iteration 818
2018-10-26 05:45:06,465 - root - INFO - 循环训练次数：Iteration 819
2018-10-26 05:45:47,983 - root - INFO - 循环训练次数：Iteration 820
2018-10-26 05:46:30,637 - root - INFO - 循环训练次数：Iteration 821
2018-10-26 05:47:12,067 - root - INFO - 循环训练次数：Iteration 822
2018-10-26 05:47:55,936 - root - INFO - 循环训练次数：Iteration 823
2018-10-26 05:48:36,936 - root - INFO - 循环训练次数：Iteration 824
2018-10-26 05:49:20,677 - root - INFO - 循环训练次数：Iteration 825
2018-10-26 05:50:03,365 - root - INFO - 循环训练次数：Iteration 826
2018-10-26 05:50:46,378 - root - INFO - 循环训练次数：Iteration 827
2018-10-26 05:51:27,870 - root - INFO - 循环训练次数：Iteration 828
2018-10-26 05:52:12,573 - root - INFO - 循环训练次数：Iteration 829
2018-10-26 05:52:56,041 - root - INFO - 循环训练次数：Iteration 830
2018-10-26 05:53:38,620 - root - INFO - 循环训练次数：Iteration 831
2018-10-26 05:54:24,542 - root - INFO - 循环训练次数：Iteration 832
2018-10-26 05:55:05,770 - root - INFO - 循环训练次数：Iteration 833
2018-10-26 05:55:47,765 - root - INFO - 循环训练次数：Iteration 834
2018-10-26 05:56:34,129 - root - INFO - 循环训练次数：Iteration 835
2018-10-26 05:57:15,637 - root - INFO - 循环训练次数：Iteration 836






    



输出图片：循环训练次数：Iteration 836






    



2018-10-26 05:58:17,765 - root - INFO - ('Cost: ', 2768102700.0)
2018-10-26 05:58:17,947 - root - INFO - 循环训练次数：Iteration 837
2018-10-26 05:59:01,238 - root - INFO - 循环训练次数：Iteration 838
2018-10-26 05:59:43,810 - root - INFO - 循环训练次数：Iteration 839
2018-10-26 06:00:30,277 - root - INFO - 循环训练次数：Iteration 840
2018-10-26 06:01:12,810 - root - INFO - 循环训练次数：Iteration 841
2018-10-26 06:01:55,012 - root - INFO - 循环训练次数：Iteration 842
2018-10-26 06:02:41,253 - root - INFO - 循环训练次数：Iteration 843
2018-10-26 06:03:22,663 - root - INFO - 循环训练次数：Iteration 844
2018-10-26 06:04:04,521 - root - INFO - 循环训练次数：Iteration 845
2018-10-26 06:04:46,795 - root - INFO - 循环训练次数：Iteration 846
2018-10-26 06:05:31,250 - root - INFO - 循环训练次数：Iteration 847
2018-10-26 06:06:11,691 - root - INFO - 循环训练次数：Iteration 848
2018-10-26 06:06:53,188 - root - INFO - 循环训练次数：Iteration 849
2018-10-26 06:07:34,177 - root - INFO - 循环训练次数：Iteration 850
2018-10-26 06:08:16,327 - root - INFO - 循环训练次数：Iteration 851
2018-10-26 06:08:55,595 - root - INFO - 循环训练次数：Iteration 852
2018-10-26 06:09:40,127 - root - INFO - 循环训练次数：Iteration 853
2018-10-26 06:10:20,593 - root - INFO - 循环训练次数：Iteration 854
2018-10-26 06:11:04,606 - root - INFO - 循环训练次数：Iteration 855






    



输出图片：循环训练次数：Iteration 855






    



2018-10-26 06:12:01,703 - root - INFO - ('Cost: ', 2633959400.0)
2018-10-26 06:12:01,885 - root - INFO - 循环训练次数：Iteration 856
2018-10-26 06:12:45,599 - root - INFO - 循环训练次数：Iteration 857
2018-10-26 06:13:26,671 - root - INFO - 循环训练次数：Iteration 858
2018-10-26 06:14:07,210 - root - INFO - 循环训练次数：Iteration 859
2018-10-26 06:14:49,587 - root - INFO - 循环训练次数：Iteration 860
2018-10-26 06:15:28,872 - root - INFO - 循环训练次数：Iteration 861
2018-10-26 06:16:09,949 - root - INFO - 循环训练次数：Iteration 862
2018-10-26 06:16:52,120 - root - INFO - 循环训练次数：Iteration 863
2018-10-26 06:17:32,851 - root - INFO - 循环训练次数：Iteration 864
2018-10-26 06:18:21,093 - root - INFO - 循环训练次数：Iteration 865
2018-10-26 06:18:58,847 - root - INFO - 循环训练次数：Iteration 866
2018-10-26 06:19:40,066 - root - INFO - 循环训练次数：Iteration 867
2018-10-26 06:20:21,126 - root - INFO - 循环训练次数：Iteration 868
2018-10-26 06:21:00,685 - root - INFO - 循环训练次数：Iteration 869
2018-10-26 06:21:42,324 - root - INFO - 循环训练次数：Iteration 870
2018-10-26 06:22:24,153 - root - INFO - 循环训练次数：Iteration 871
2018-10-26 06:23:05,314 - root - INFO - 循环训练次数：Iteration 872
2018-10-26 06:23:46,854 - root - INFO - 循环训练次数：Iteration 873
2018-10-26 06:24:29,008 - root - INFO - 循环训练次数：Iteration 874






    



输出图片：循环训练次数：Iteration 874






    



2018-10-26 06:25:31,555 - root - INFO - ('Cost: ', 2507195400.0)
2018-10-26 06:25:31,744 - root - INFO - 循环训练次数：Iteration 875
2018-10-26 06:26:17,690 - root - INFO - 循环训练次数：Iteration 876
2018-10-26 06:26:55,949 - root - INFO - 循环训练次数：Iteration 877
2018-10-26 06:27:36,598 - root - INFO - 循环训练次数：Iteration 878
2018-10-26 06:28:19,431 - root - INFO - 循环训练次数：Iteration 879
2018-10-26 06:29:00,654 - root - INFO - 循环训练次数：Iteration 880
2018-10-26 06:29:43,935 - root - INFO - 循环训练次数：Iteration 881
2018-10-26 06:30:24,123 - root - INFO - 循环训练次数：Iteration 882
2018-10-26 06:31:05,428 - root - INFO - 循环训练次数：Iteration 883
2018-10-26 06:31:50,700 - root - INFO - 循环训练次数：Iteration 884
2018-10-26 06:32:31,405 - root - INFO - 循环训练次数：Iteration 885
2018-10-26 06:33:10,094 - root - INFO - 循环训练次数：Iteration 886
2018-10-26 06:33:56,823 - root - INFO - 循环训练次数：Iteration 887
2018-10-26 06:34:38,060 - root - INFO - 循环训练次数：Iteration 888
2018-10-26 06:35:23,105 - root - INFO - 循环训练次数：Iteration 889
2018-10-26 06:36:01,852 - root - INFO - 循环训练次数：Iteration 890
2018-10-26 06:36:47,682 - root - INFO - 循环训练次数：Iteration 891
2018-10-26 06:37:28,895 - root - INFO - 循环训练次数：Iteration 892
2018-10-26 06:38:13,836 - root - INFO - 循环训练次数：Iteration 893






    



输出图片：循环训练次数：Iteration 893






    



2018-10-26 06:39:11,641 - root - INFO - ('Cost: ', 2386935300.0)
2018-10-26 06:39:11,823 - root - INFO - 循环训练次数：Iteration 894
2018-10-26 06:39:58,645 - root - INFO - 循环训练次数：Iteration 895
2018-10-26 06:40:37,702 - root - INFO - 循环训练次数：Iteration 896
2018-10-26 06:41:19,695 - root - INFO - 循环训练次数：Iteration 897
2018-10-26 06:42:05,947 - root - INFO - 循环训练次数：Iteration 898
2018-10-26 06:42:44,546 - root - INFO - 循环训练次数：Iteration 899
2018-10-26 06:43:26,697 - root - INFO - 循环训练次数：Iteration 900
2018-10-26 06:44:12,707 - root - INFO - 循环训练次数：Iteration 901
2018-10-26 06:44:51,269 - root - INFO - 循环训练次数：Iteration 902
2018-10-26 06:45:32,840 - root - INFO - 循环训练次数：Iteration 903
2018-10-26 06:46:19,626 - root - INFO - 循环训练次数：Iteration 904
2018-10-26 06:46:58,130 - root - INFO - 循环训练次数：Iteration 905
2018-10-26 06:47:39,474 - root - INFO - 循环训练次数：Iteration 906
2018-10-26 06:48:23,189 - root - INFO - 循环训练次数：Iteration 907
2018-10-26 06:49:01,575 - root - INFO - 循环训练次数：Iteration 908
2018-10-26 06:49:47,223 - root - INFO - 循环训练次数：Iteration 909
2018-10-26 06:50:25,266 - root - INFO - 循环训练次数：Iteration 910
2018-10-26 06:51:08,286 - root - INFO - 循环训练次数：Iteration 911
2018-10-26 06:51:52,704 - root - INFO - 循环训练次数：Iteration 912






    



输出图片：循环训练次数：Iteration 912






    



2018-10-26 06:52:50,722 - root - INFO - ('Cost: ', 2270830800.0)
2018-10-26 06:52:50,887 - root - INFO - 循环训练次数：Iteration 913
2018-10-26 06:53:35,472 - root - INFO - 循环训练次数：Iteration 914
2018-10-26 06:54:15,082 - root - INFO - 循环训练次数：Iteration 915
2018-10-26 06:54:56,432 - root - INFO - 循环训练次数：Iteration 916
2018-10-26 06:55:36,691 - root - INFO - 循环训练次数：Iteration 917
2018-10-26 06:56:21,400 - root - INFO - 循环训练次数：Iteration 918
2018-10-26 06:56:59,709 - root - INFO - 循环训练次数：Iteration 919
2018-10-26 06:57:41,721 - root - INFO - 循环训练次数：Iteration 920
2018-10-26 06:58:26,629 - root - INFO - 循环训练次数：Iteration 921
2018-10-26 06:59:04,643 - root - INFO - 循环训练次数：Iteration 922
2018-10-26 06:59:46,726 - root - INFO - 循环训练次数：Iteration 923
2018-10-26 07:00:31,057 - root - INFO - 循环训练次数：Iteration 924
2018-10-26 07:01:11,985 - root - INFO - 循环训练次数：Iteration 925
2018-10-26 07:01:54,060 - root - INFO - 循环训练次数：Iteration 926
2018-10-26 07:02:35,049 - root - INFO - 循环训练次数：Iteration 927
2018-10-26 07:03:15,987 - root - INFO - 循环训练次数：Iteration 928
2018-10-26 07:03:55,884 - root - INFO - 循环训练次数：Iteration 929
2018-10-26 07:04:39,220 - root - INFO - 循环训练次数：Iteration 930
2018-10-26 07:05:20,307 - root - INFO - 循环训练次数：Iteration 931






    



输出图片：循环训练次数：Iteration 931






    



2018-10-26 07:06:19,149 - root - INFO - ('Cost: ', 2160173600.0)
2018-10-26 07:06:19,314 - root - INFO - 循环训练次数：Iteration 932
2018-10-26 07:07:04,480 - root - INFO - 循环训练次数：Iteration 933
2018-10-26 07:07:43,664 - root - INFO - 循环训练次数：Iteration 934
2018-10-26 07:08:27,096 - root - INFO - 循环训练次数：Iteration 935
2018-10-26 07:09:09,456 - root - INFO - 循环训练次数：Iteration 936
2018-10-26 07:09:51,358 - root - INFO - 循环训练次数：Iteration 937
2018-10-26 07:10:29,770 - root - INFO - 循环训练次数：Iteration 938
2018-10-26 07:11:14,241 - root - INFO - 循环训练次数：Iteration 939
2018-10-26 07:11:55,634 - root - INFO - 循环训练次数：Iteration 940
2018-10-26 07:12:40,020 - root - INFO - 循环训练次数：Iteration 941
2018-10-26 07:13:21,759 - root - INFO - 循环训练次数：Iteration 942
2018-10-26 07:14:03,795 - root - INFO - 循环训练次数：Iteration 943
2018-10-26 07:14:48,566 - root - INFO - 循环训练次数：Iteration 944
2018-10-26 07:15:28,839 - root - INFO - 循环训练次数：Iteration 945
2018-10-26 07:16:11,077 - root - INFO - 循环训练次数：Iteration 946
2018-10-26 07:16:56,545 - root - INFO - 循环训练次数：Iteration 947
2018-10-26 07:17:34,481 - root - INFO - 循环训练次数：Iteration 948
2018-10-26 07:18:23,172 - root - INFO - 循环训练次数：Iteration 949
2018-10-26 07:19:08,747 - root - INFO - 循环训练次数：Iteration 950






    



输出图片：循环训练次数：Iteration 950






    



2018-10-26 07:20:09,602 - root - INFO - ('Cost: ', 2056470800.0)
2018-10-26 07:20:09,793 - root - INFO - 循环训练次数：Iteration 951
2018-10-26 07:20:55,022 - root - INFO - 循环训练次数：Iteration 952
2018-10-26 07:21:40,116 - root - INFO - 循环训练次数：Iteration 953
2018-10-26 07:22:38,424 - root - INFO - 循环训练次数：Iteration 954
2018-10-26 07:23:22,286 - root - INFO - 循环训练次数：Iteration 955
2018-10-26 07:24:09,573 - root - INFO - 循环训练次数：Iteration 956
2018-10-26 07:24:51,426 - root - INFO - 循环训练次数：Iteration 957
2018-10-26 07:25:34,645 - root - INFO - 循环训练次数：Iteration 958
2018-10-26 07:26:17,866 - root - INFO - 循环训练次数：Iteration 959
2018-10-26 07:27:04,679 - root - INFO - 循环训练次数：Iteration 960
2018-10-26 07:27:44,428 - root - INFO - 循环训练次数：Iteration 961
2018-10-26 07:28:26,556 - root - INFO - 循环训练次数：Iteration 962
2018-10-26 07:29:10,438 - root - INFO - 循环训练次数：Iteration 963
2018-10-26 07:29:53,497 - root - INFO - 循环训练次数：Iteration 964
2018-10-26 07:30:36,056 - root - INFO - 循环训练次数：Iteration 965
2018-10-26 07:31:21,245 - root - INFO - 循环训练次数：Iteration 966
2018-10-26 07:32:02,994 - root - INFO - 循环训练次数：Iteration 967
2018-10-26 07:32:47,229 - root - INFO - 循环训练次数：Iteration 968
2018-10-26 07:33:29,065 - root - INFO - 循环训练次数：Iteration 969






    



输出图片：循环训练次数：Iteration 969






    



2018-10-26 07:34:33,249 - root - INFO - ('Cost: ', 1956872100.0)
2018-10-26 07:34:33,420 - root - INFO - 循环训练次数：Iteration 970
2018-10-26 07:35:17,224 - root - INFO - 循环训练次数：Iteration 971
2018-10-26 07:36:03,833 - root - INFO - 循环训练次数：Iteration 972
2018-10-26 07:36:45,446 - root - INFO - 循环训练次数：Iteration 973
2018-10-26 07:37:28,567 - root - INFO - 循环训练次数：Iteration 974
2018-10-26 07:38:12,738 - root - INFO - 循环训练次数：Iteration 975
2018-10-26 07:38:51,806 - root - INFO - 循环训练次数：Iteration 976
2018-10-26 07:39:37,753 - root - INFO - 循环训练次数：Iteration 977
2018-10-26 07:40:18,987 - root - INFO - 循环训练次数：Iteration 978
2018-10-26 07:41:00,070 - root - INFO - 循环训练次数：Iteration 979
2018-10-26 07:41:42,553 - root - INFO - 循环训练次数：Iteration 980
2018-10-26 07:42:23,717 - root - INFO - 循环训练次数：Iteration 981
2018-10-26 07:43:09,250 - root - INFO - 循环训练次数：Iteration 982
2018-10-26 07:43:49,948 - root - INFO - 循环训练次数：Iteration 983
2018-10-26 07:44:33,583 - root - INFO - 循环训练次数：Iteration 984
2018-10-26 07:45:19,574 - root - INFO - 循环训练次数：Iteration 985
2018-10-26 07:45:58,045 - root - INFO - 循环训练次数：Iteration 986
2018-10-26 07:46:40,134 - root - INFO - 循环训练次数：Iteration 987
2018-10-26 07:47:26,438 - root - INFO - 循环训练次数：Iteration 988






    



输出图片：循环训练次数：Iteration 988






    



2018-10-26 07:48:28,175 - root - INFO - ('Cost: ', 1860973200.0)
2018-10-26 07:48:28,365 - root - INFO - 循环训练次数：Iteration 989
2018-10-26 07:49:12,821 - root - INFO - 循环训练次数：Iteration 990
2018-10-26 07:49:53,889 - root - INFO - 循环训练次数：Iteration 991
2018-10-26 07:50:36,970 - root - INFO - 循环训练次数：Iteration 992
2018-10-26 07:51:22,281 - root - INFO - 循环训练次数：Iteration 993
2018-10-26 07:52:03,388 - root - INFO - 循环训练次数：Iteration 994
2018-10-26 07:52:49,226 - root - INFO - 循环训练次数：Iteration 995
2018-10-26 07:53:27,649 - root - INFO - 循环训练次数：Iteration 996
2018-10-26 07:54:10,936 - root - INFO - 循环训练次数：Iteration 997
2018-10-26 07:54:55,097 - root - INFO - 循环训练次数：Iteration 998
2018-10-26 07:55:38,677 - root - INFO - 循环训练次数：Iteration 999
2018-10-26 07:56:24,994 - root - INFO - 循环训练次数：Iteration 1000
2018-10-26 07:57:03,370 - root - INFO - 循环训练次数：Iteration 1001
2018-10-26 07:57:46,974 - root - INFO - 循环训练次数：Iteration 1002
2018-10-26 07:58:28,394 - root - INFO - 循环训练次数：Iteration 1003
2018-10-26 07:59:14,604 - root - INFO - 循环训练次数：Iteration 1004
2018-10-26 07:59:55,796 - root - INFO - 循环训练次数：Iteration 1005
2018-10-26 08:00:39,122 - root - INFO - 循环训练次数：Iteration 1006
2018-10-26 08:01:22,603 - root - INFO - 循环训练次数：Iteration 1007






    



输出图片：循环训练次数：Iteration 1007






    



2018-10-26 08:02:25,960 - root - INFO - ('Cost: ', 1766436400.0)
2018-10-26 08:02:26,155 - root - INFO - 循环训练次数：Iteration 1008
2018-10-26 08:03:13,288 - root - INFO - 循环训练次数：Iteration 1009
2018-10-26 08:03:56,038 - root - INFO - 循环训练次数：Iteration 1010
2018-10-26 08:04:41,943 - root - INFO - 循环训练次数：Iteration 1011
2018-10-26 08:05:22,120 - root - INFO - 循环训练次数：Iteration 1012
2018-10-26 08:06:09,767 - root - INFO - 循环训练次数：Iteration 1013
2018-10-26 08:06:51,497 - root - INFO - 循环训练次数：Iteration 1014
2018-10-26 08:07:39,700 - root - INFO - 循环训练次数：Iteration 1015
2018-10-26 08:08:22,287 - root - INFO - 循环训练次数：Iteration 1016
2018-10-26 08:09:09,256 - root - INFO - 循环训练次数：Iteration 1017
2018-10-26 08:09:50,593 - root - INFO - 循环训练次数：Iteration 1018
2018-10-26 08:10:33,537 - root - INFO - 循环训练次数：Iteration 1019
2018-10-26 08:11:16,648 - root - INFO - 循环训练次数：Iteration 1020
2018-10-26 08:12:03,757 - root - INFO - 循环训练次数：Iteration 1021
2018-10-26 08:12:45,535 - root - INFO - 循环训练次数：Iteration 1022
2018-10-26 08:13:28,302 - root - INFO - 循环训练次数：Iteration 1023
2018-10-26 08:14:13,401 - root - INFO - 循环训练次数：Iteration 1024
2018-10-26 08:14:55,986 - root - INFO - 循环训练次数：Iteration 1025
2018-10-26 08:15:40,682 - root - INFO - 循环训练次数：Iteration 1026






    



输出图片：循环训练次数：Iteration 1026






    



2018-10-26 08:16:42,605 - root - INFO - ('Cost: ', 1679956000.0)
2018-10-26 08:16:42,793 - root - INFO - 循环训练次数：Iteration 1027
2018-10-26 08:17:30,590 - root - INFO - 循环训练次数：Iteration 1028
2018-10-26 08:18:16,487 - root - INFO - 循环训练次数：Iteration 1029
2018-10-26 08:19:02,758 - root - INFO - 循环训练次数：Iteration 1030
2018-10-26 08:19:42,506 - root - INFO - 循环训练次数：Iteration 1031
2018-10-26 08:20:27,711 - root - INFO - 循环训练次数：Iteration 1032
2018-10-26 08:21:09,802 - root - INFO - 循环训练次数：Iteration 1033
2018-10-26 08:21:52,109 - root - INFO - 循环训练次数：Iteration 1034
2018-10-26 08:22:38,117 - root - INFO - 循环训练次数：Iteration 1035
2018-10-26 08:23:19,654 - root - INFO - 循环训练次数：Iteration 1036
2018-10-26 08:24:01,323 - root - INFO - 循环训练次数：Iteration 1037
2018-10-26 08:24:45,820 - root - INFO - 循环训练次数：Iteration 1038
2018-10-26 08:25:29,553 - root - INFO - 循环训练次数：Iteration 1039
2018-10-26 08:26:16,141 - root - INFO - 循环训练次数：Iteration 1040
2018-10-26 08:26:54,430 - root - INFO - 循环训练次数：Iteration 1041
2018-10-26 08:27:40,839 - root - INFO - 循环训练次数：Iteration 1042
2018-10-26 08:28:22,629 - root - INFO - 循环训练次数：Iteration 1043
2018-10-26 08:29:04,996 - root - INFO - 循环训练次数：Iteration 1044
2018-10-26 08:29:47,897 - root - INFO - 循环训练次数：Iteration 1045






    



输出图片：循环训练次数：Iteration 1045






    



2018-10-26 08:30:52,264 - root - INFO - ('Cost: ', 1597964400.0)
2018-10-26 08:30:52,460 - root - INFO - 循环训练次数：Iteration 1046
2018-10-26 08:31:37,686 - root - INFO - 循环训练次数：Iteration 1047
2018-10-26 08:32:20,676 - root - INFO - 循环训练次数：Iteration 1048
2018-10-26 08:33:02,705 - root - INFO - 循环训练次数：Iteration 1049
2018-10-26 08:33:46,678 - root - INFO - 循环训练次数：Iteration 1050
2018-10-26 08:34:27,415 - root - INFO - 循环训练次数：Iteration 1051
2018-10-26 08:35:12,963 - root - INFO - 循环训练次数：Iteration 1052
2018-10-26 08:35:54,169 - root - INFO - 循环训练次数：Iteration 1053
2018-10-26 08:36:35,542 - root - INFO - 循环训练次数：Iteration 1054
2018-10-26 08:37:21,304 - root - INFO - 循环训练次数：Iteration 1055
2018-10-26 08:38:03,710 - root - INFO - 循环训练次数：Iteration 1056
2018-10-26 08:38:48,585 - root - INFO - 循环训练次数：Iteration 1057
2018-10-26 08:39:30,684 - root - INFO - 循环训练次数：Iteration 1058
2018-10-26 08:40:13,141 - root - INFO - 循环训练次数：Iteration 1059
2018-10-26 08:40:58,801 - root - INFO - 循环训练次数：Iteration 1060
2018-10-26 08:41:40,634 - root - INFO - 循环训练次数：Iteration 1061
2018-10-26 08:42:24,061 - root - INFO - 循环训练次数：Iteration 1062
2018-10-26 08:43:11,467 - root - INFO - 循环训练次数：Iteration 1063
2018-10-26 08:43:52,937 - root - INFO - 循环训练次数：Iteration 1064






    



输出图片：循环训练次数：Iteration 1064






    



2018-10-26 08:44:54,073 - root - INFO - ('Cost: ', 1518752000.0)
2018-10-26 08:44:54,274 - root - INFO - 循环训练次数：Iteration 1065
2018-10-26 08:45:40,609 - root - INFO - 循环训练次数：Iteration 1066
2018-10-26 08:46:23,546 - root - INFO - 循环训练次数：Iteration 1067
2018-10-26 08:47:08,184 - root - INFO - 循环训练次数：Iteration 1068
2018-10-26 08:47:55,519 - root - INFO - 循环训练次数：Iteration 1069
2018-10-26 08:48:35,866 - root - INFO - 循环训练次数：Iteration 1070
2018-10-26 08:49:18,304 - root - INFO - 循环训练次数：Iteration 1071
2018-10-26 08:50:04,402 - root - INFO - 循环训练次数：Iteration 1072
2018-10-26 08:50:46,899 - root - INFO - 循环训练次数：Iteration 1073
2018-10-26 08:51:29,184 - root - INFO - 循环训练次数：Iteration 1074
2018-10-26 08:52:15,260 - root - INFO - 循环训练次数：Iteration 1075
2018-10-26 08:52:54,870 - root - INFO - 循环训练次数：Iteration 1076
2018-10-26 08:53:37,179 - root - INFO - 循环训练次数：Iteration 1077
2018-10-26 08:54:24,488 - root - INFO - 循环训练次数：Iteration 1078
2018-10-26 08:55:06,736 - root - INFO - 循环训练次数：Iteration 1079
2018-10-26 08:55:52,268 - root - INFO - 循环训练次数：Iteration 1080
2018-10-26 08:56:33,743 - root - INFO - 循环训练次数：Iteration 1081
2018-10-26 08:57:15,653 - root - INFO - 循环训练次数：Iteration 1082
2018-10-26 08:57:55,318 - root - INFO - 循环训练次数：Iteration 1083






    



输出图片：循环训练次数：Iteration 1083






    



2018-10-26 08:58:55,676 - root - INFO - ('Cost: ', 1443075700.0)
2018-10-26 08:58:55,869 - root - INFO - 循环训练次数：Iteration 1084
2018-10-26 08:59:40,272 - root - INFO - 循环训练次数：Iteration 1085
2018-10-26 09:00:23,782 - root - INFO - 循环训练次数：Iteration 1086
2018-10-26 09:01:07,690 - root - INFO - 循环训练次数：Iteration 1087
2018-10-26 09:01:53,963 - root - INFO - 循环训练次数：Iteration 1088
2018-10-26 09:02:36,315 - root - INFO - 循环训练次数：Iteration 1089
2018-10-26 09:03:18,793 - root - INFO - 循环训练次数：Iteration 1090
2018-10-26 09:04:01,126 - root - INFO - 循环训练次数：Iteration 1091
2018-10-26 09:04:44,588 - root - INFO - 循环训练次数：Iteration 1092
2018-10-26 09:05:29,416 - root - INFO - 循环训练次数：Iteration 1093
2018-10-26 09:06:11,830 - root - INFO - 循环训练次数：Iteration 1094
2018-10-26 09:06:54,467 - root - INFO - 循环训练次数：Iteration 1095
2018-10-26 09:07:39,793 - root - INFO - 循环训练次数：Iteration 1096
2018-10-26 09:08:23,523 - root - INFO - 循环训练次数：Iteration 1097
2018-10-26 09:09:09,218 - root - INFO - 循环训练次数：Iteration 1098
2018-10-26 09:09:51,529 - root - INFO - 循环训练次数：Iteration 1099
2018-10-26 09:10:36,312 - root - INFO - 循环训练次数：Iteration 1100
2018-10-26 09:11:19,146 - root - INFO - 循环训练次数：Iteration 1101
2018-10-26 09:12:06,308 - root - INFO - 循环训练次数：Iteration 1102






    



输出图片：循环训练次数：Iteration 1102






    



2018-10-26 09:13:09,816 - root - INFO - ('Cost: ', 1371217200.0)
2018-10-26 09:13:10,018 - root - INFO - 循环训练次数：Iteration 1103
2018-10-26 09:13:56,936 - root - INFO - 循环训练次数：Iteration 1104
2018-10-26 09:14:41,222 - root - INFO - 循环训练次数：Iteration 1105
2018-10-26 09:15:25,023 - root - INFO - 循环训练次数：Iteration 1106
2018-10-26 09:16:09,700 - root - INFO - 循环训练次数：Iteration 1107
2018-10-26 09:16:53,052 - root - INFO - 循环训练次数：Iteration 1108
2018-10-26 09:17:38,501 - root - INFO - 循环训练次数：Iteration 1109
2018-10-26 09:18:26,031 - root - INFO - 循环训练次数：Iteration 1110
2018-10-26 09:19:13,909 - root - INFO - 循环训练次数：Iteration 1111
2018-10-26 09:19:57,415 - root - INFO - 循环训练次数：Iteration 1112
2018-10-26 09:20:43,031 - root - INFO - 循环训练次数：Iteration 1113
2018-10-26 09:21:26,335 - root - INFO - 循环训练次数：Iteration 1114
2018-10-26 09:22:11,756 - root - INFO - 循环训练次数：Iteration 1115
2018-10-26 09:22:55,942 - root - INFO - 循环训练次数：Iteration 1116
2018-10-26 09:23:44,173 - root - INFO - 循环训练次数：Iteration 1117
2018-10-26 09:24:27,761 - root - INFO - 循环训练次数：Iteration 1118
2018-10-26 09:25:10,821 - root - INFO - 循环训练次数：Iteration 1119
2018-10-26 09:25:53,356 - root - INFO - 循环训练次数：Iteration 1120
2018-10-26 09:26:30,851 - root - INFO - 循环训练次数：Iteration 1121






    



输出图片：循环训练次数：Iteration 1121






    



2018-10-26 09:27:28,431 - root - INFO - ('Cost: ', 1306036100.0)
2018-10-26 09:27:28,552 - root - INFO - 循环训练次数：Iteration 1122
2018-10-26 09:28:05,267 - root - INFO - 循环训练次数：Iteration 1123
2018-10-26 09:28:40,694 - root - INFO - 循环训练次数：Iteration 1124
2018-10-26 09:29:15,526 - root - INFO - 循环训练次数：Iteration 1125
2018-10-26 09:29:48,465 - root - INFO - 循环训练次数：Iteration 1126
2018-10-26 09:30:20,285 - root - INFO - 循环训练次数：Iteration 1127
2018-10-26 09:30:46,052 - root - INFO - 循环训练次数：Iteration 1128
2018-10-26 09:31:13,922 - root - INFO - 循环训练次数：Iteration 1129
2018-10-26 09:31:41,394 - root - INFO - 循环训练次数：Iteration 1130
2018-10-26 09:32:15,630 - root - INFO - 循环训练次数：Iteration 1131
2018-10-26 09:32:46,072 - root - INFO - 循环训练次数：Iteration 1132
2018-10-26 09:33:15,914 - root - INFO - 循环训练次数：Iteration 1133
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2018-10-26 09:34:07,971 - root - INFO - 循环训练次数：Iteration 1135
2018-10-26 09:34:35,563 - root - INFO - 循环训练次数：Iteration 1136
2018-10-26 09:35:00,302 - root - INFO - 循环训练次数：Iteration 1137
2018-10-26 09:35:27,761 - root - INFO - 循环训练次数：Iteration 1138
2018-10-26 09:35:55,064 - root - INFO - 循环训练次数：Iteration 1139
2018-10-26 09:36:22,360 - root - INFO - 循环训练次数：Iteration 1140






    



输出图片：循环训练次数：Iteration 1140






    



2018-10-26 09:36:57,326 - root - INFO - ('Cost: ', 1243712300.0)
2018-10-26 09:36:57,414 - root - INFO - 循环训练次数：Iteration 1141
2018-10-26 09:37:25,654 - root - INFO - 循环训练次数：Iteration 1142
2018-10-26 09:37:53,163 - root - INFO - 循环训练次数：Iteration 1143
2018-10-26 09:38:18,900 - root - INFO - 循环训练次数：Iteration 1144
2018-10-26 09:38:44,021 - root - INFO - 循环训练次数：Iteration 1145
2018-10-26 09:39:16,554 - root - INFO - 循环训练次数：Iteration 1146
2018-10-26 09:39:43,033 - root - INFO - 循环训练次数：Iteration 1147






    



---------------------------------------------------------------------------
KeyboardInterrupt                         Traceback (most recent call last)
<ipython-input-4-5548f867cc6e> in <module>
     27         for i in range(ITERATIONS):
     28                 logging.info('循环训练次数：Iteration %d' % i)
---> 29                 sess.run(train)
     30                 if i % 19 == 0:
     31                         output_image = sess.run(model['input'])

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
    885     try:
    886       result = self._run(None, fetches, feed_dict, options_ptr,
--> 887                          run_metadata_ptr)
    888       if run_metadata:
    889         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
   1108     if final_fetches or final_targets or (handle and feed_dict_tensor):
   1109       results = self._do_run(handle, final_targets, final_fetches,
-> 1110                              feed_dict_tensor, options, run_metadata)
   1111     else:
   1112       results = []

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
   1284     if handle is None:
   1285       return self._do_call(_run_fn, feeds, fetches, targets, options,
-> 1286                            run_metadata)
   1287     else:
   1288       return self._do_call(_prun_fn, handle, feeds, fetches)

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
   1290   def _do_call(self, fn, *args):
   1291     try:
-> 1292       return fn(*args)
   1293     except errors.OpError as e:
   1294       message = compat.as_text(e.message)

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run_fn(feed_dict, fetch_list, target_list, options, run_metadata)
   1275       self._extend_graph()
   1276       return self._call_tf_sessionrun(
-> 1277           options, feed_dict, fetch_list, target_list, run_metadata)
   1278 
   1279     def _prun_fn(handle, feed_dict, fetch_list):

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/client/session.py in _call_tf_sessionrun(self, options, feed_dict, fetch_list, target_list, run_metadata)
   1365     return tf_session.TF_SessionRun_wrapper(
   1366         self._session, options, feed_dict, fetch_list, target_list,
-> 1367         run_metadata)
   1368 
   1369   def _call_tf_sessionprun(self, handle, feed_dict, fetch_list):

KeyboardInterrupt:



In [5]:

    
print("scipy.__version__",scipy.__version__,
"tf.__version__",tf.__version__,
"np.__version__",np.__version__,"Python 版本为",sys.version)









    



scipy.__version__ 1.1.0 tf.__version__ 1.11.0 np.__version__ 1.15.3 Python 版本为 3.6.7 (v3.6.7:6ec5cf24b7, Oct 20 2018, 00:28:22) 
[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)]



In [ ]: