[layers] batch norm layer for TF 0.12

Author: zsdonghao

tensorlayer/layers.py

@@ -1931,7 +1931,7 @@ def __init__(
             axis = list(range(len(x_shape) - 1))
 
             ## 1. beta, gamma
-            if tf.__version__ >= '0.11' and beta_init == tf.zeros_initializer:
+            if tf.__version__ >= '0.12' and beta_init == tf.zeros_initializer:
                 beta_init = beta_init()
             beta = tf.get_variable('beta', shape=params_shape,
                                initializer=beta_init,
@@ -1960,7 +1960,7 @@ def __init__(
             #                                     initializer=tf.ones_initializer,
             #                                     trainable=False)
 
-            if tf.__version__ >= '0.11':
+            if tf.__version__ >= '0.12':
                 moving_mean_init = tf.zeros_initializer()
             else:
                 moving_mean_init = tf.zeros_initializer