Improve mnist examples and fix bugs. (#382)

* simplified mnist example

* simplied mnist example

* simplied mnist example

* simplied mnist example

* simplied mnist example

* IMPORTANT : fixed D_TYPE bug / as we splited the layers into many file, the D_TYPE in core.py cant change in other files

* update layer config.

* format code

* decouple set_keep.

* fix hao comments.

Author: zsdonghao

example/tutorial_atari_pong.py

@@ -24,10 +24,10 @@
 
 import numpy as np
 import tensorflow as tf
-import tensorlayer as tl
-from tensorlayer.layers import *
 
 import gym
+import tensorlayer as tl
+from tensorlayer.layers import *
 
 # hyper-parameters
 image_size = 80

example/tutorial_bipedalwalker_a3c_continuous_action.py

@@ -36,10 +36,10 @@
 
 import numpy as np
 import tensorflow as tf
-import tensorlayer as tl
-from tensorlayer.layers import *
 
 import gym
+import tensorlayer as tl
+from tensorlayer.layers import *
 
 GAME = 'BipedalWalker-v2'  # BipedalWalkerHardcore-v2
 OUTPUT_GRAPH = False

example/tutorial_cartpole_ac.py

@@ -36,10 +36,10 @@
 
 import numpy as np
 import tensorflow as tf
-import tensorlayer as tl
-from tensorlayer.layers import *
 
 import gym
+import tensorlayer as tl
+from tensorlayer.layers import *
 
 np.random.seed(2)
 tf.set_random_seed(2)  # reproducible

example/tutorial_cifar10.py

@@ -7,6 +7,7 @@
 
 import numpy as np
 import tensorflow as tf
+
 import tensorlayer as tl
 from tensorlayer.layers import *
 

example/tutorial_cifar10_tfrecord.py

@@ -44,6 +44,7 @@
 
 # import numpy as np
 import tensorflow as tf
+
 import tensorlayer as tl
 from tensorlayer.layers import *
 

example/tutorial_frozenlake_dqn.py

@@ -26,11 +26,10 @@
 
 """
 
+import gym
 import tensorlayer as tl
 from tensorlayer.layers import *
 
-import gym
-
 env = gym.make('FrozenLake-v0')
 
 

example/tutorial_generate_text.py

@@ -27,10 +27,10 @@
 
 import numpy as np
 import tensorflow as tf
-import tensorlayer as tl
-from tensorlayer.layers import *
 
 import nltk
+import tensorlayer as tl
+from tensorlayer.layers import *
 
 # # _UNK = "_UNK"
 

example/tutorial_imagenet_inceptionV3_distributed.py

@@ -20,7 +20,6 @@
 
 import numpy as np
 import tensorflow as tf
-import tensorlayer as tl
 from tensorflow.contrib import slim
 from tensorflow.contrib.slim.python.slim.nets.inception_v3 import (inception_v3, inception_v3_arg_scope)
 from tensorflow.python.framework.errors_impl import OutOfRangeError
@@ -29,6 +28,8 @@
 from tensorflow.python.training.monitored_session import \
     SingularMonitoredSession
 
+import tensorlayer as tl
+
 ########## VARIABLES ##########
 
 # get the dataset: https://www.kaggle.com/c/imagenet-object-localization-challenge/data

example/tutorial_imdb_fasttext.py

@@ -31,6 +31,7 @@
 
 import numpy as np
 import tensorflow as tf
+
 import tensorlayer as tl
 from tensorlayer.layers import *
 

example/tutorial_inceptionV3_tfslim.py

@@ -31,11 +31,12 @@
 import skimage.io
 import skimage.transform
 import tensorflow as tf
-import tensorlayer as tl
 # from scipy.misc import imread, imresize
 # from tensorflow.contrib.slim.python.slim.nets.alexnet import alexnet_v2
 from tensorflow.contrib.slim.python.slim.nets.inception_v3 import (inception_v3, inception_v3_arg_scope)
 
+import tensorlayer as tl
+
 slim = tf.contrib.slim
 try:
     from data.imagenet_classes import *