samplified-example-code (#385)

* Update tutorial_mlp_dropout2.py

* Update tutorial_mlp_dropout1.py

* Update tutorial_mnist_simple.py

* Update tutorial_mnist_float16.py

* fix format

* fix format

Author: zsdonghao

example/tutorial_mlp_dropout1.py

@@ -12,10 +12,7 @@
                                 tl.files.load_mnist_dataset(shape=(-1,784))
 # define placeholder
 x = tf.placeholder(tf.float32, shape=[None, 784], name='x')
-y_ = tf.placeholder(
-    tf.int64, shape=[
-        None,
-    ], name='y_')
+y_ = tf.placeholder(tf.int64, shape=[None], name='y_')
 
 # define the network
 network = tl.layers.InputLayer(x, name='input')

example/tutorial_mlp_dropout2.py

@@ -12,10 +12,7 @@
                                 tl.files.load_mnist_dataset(shape=(-1,784))
 # define placeholder
 x = tf.placeholder(tf.float32, shape=[None, 784], name='x')
-y_ = tf.placeholder(
-    tf.int64, shape=[
-        None,
-    ], name='y_')
+y_ = tf.placeholder(tf.int64, shape=[None], name='y_')
 
 
 # define the network

example/tutorial_mnist_float16.py

@@ -15,10 +15,7 @@
 batch_size = 128
 
 x = tf.placeholder(LayersConfig.tf_dtype, shape=[batch_size, 28, 28, 1])
-y_ = tf.placeholder(
-    tf.int64, shape=[
-        batch_size,
-    ])
+y_ = tf.placeholder(tf.int64, shape=[batch_size])
 
 
 def model(x, is_train=True, reuse=False):

example/tutorial_mnist_simple.py

@@ -12,10 +12,7 @@
                                 tl.files.load_mnist_dataset(shape=(-1,784))
 # define placeholder
 x = tf.placeholder(tf.float32, shape=[None, 784], name='x')
-y_ = tf.placeholder(
-    tf.int64, shape=[
-        None,
-    ], name='y_')
+y_ = tf.placeholder(tf.int64, shape=[None], name='y_')
 
 # define the network
 network = tl.layers.InputLayer(x, name='input')