release 1.3.1

docs/conf.py

@@ -67,9 +67,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '1.3.0'
+version = '1.3.1'
 # The full version, including alpha/beta/rc tags.
-release = '1.3.0'
+release = '1.3.1'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -143,7 +143,7 @@
 # The name for this set of Sphinx documents.
 # "<project> v<release> documentation" by default.
 #
-# html_title = 'TensorLayer v1.3.0'
+# html_title = 'TensorLayer v1.3.1'
 
 # A shorter title for the navigation bar.  Default is the same as html_title.
 #

setup.py

@@ -10,7 +10,7 @@
 
 setup(
     name = "tensorlayer",
-    version = "1.3.0",
+    version = "1.3.1",
     include_package_data=True,
     author='TensorLayer Contributors',
     author_email='hao.dong11@imperial.ac.uk',

tensorlayer/__init__.py

@@ -25,4 +25,4 @@
 from . import rein
 
 
-__version__ = "1.3.0"
+__version__ = "1.3.1"

tensorlayer/layers.py

@@ -1940,8 +1940,7 @@ def mean_var_with_update():
         self.all_params.extend( variables )
         # self.all_params.extend( [beta, gamma] )
 
-
-class BatchNormLayer5(Layer):   #
+class BatchNormLayer5(Layer):   # Akara
     """
     The :class:`BatchNormLayer` class is a normalization layer, see ``tf.nn.batch_normalization`` and ``tf.nn.moments``.
 
@@ -2108,6 +2107,8 @@ def mean_var_with_update():
         self.all_params.extend( variables )
         # self.all_params.extend( [beta, gamma] )
 
+
+
 # class BatchNormLayer4(Layer): # work TFlearn https://github.com/tflearn/tflearn/blob/master/tflearn/layers/normalization.py
 #     """
 #     The :class:`BatchNormLayer` class is a normalization layer, see ``tf.nn.batch_normalization`` and ``tf.nn.moments``.