[RELEASE] 1.2.3

docs/conf.py

@@ -67,9 +67,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '1.2.2'
+version = '1.2.3'
 # The full version, including alpha/beta/rc tags.
-release = '1.2.2'
+release = '1.2.3'
 
 # 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 v1.2.2'
+# html_title = 'TensorLayer v1.2.3'
 
 # A shorter title for the navigation bar.  Default is the same as html_title.
 #

setup.py

@@ -10,7 +10,7 @@
 
 setup(
     name = "tensorlayer",
-    version = "1.2.2",
+    version = "1.2.3",
     include_package_data=True,
     author='TensorLayer Contributors',
     author_email='[email protected]',

tensorlayer/layers.py

@@ -2554,6 +2554,8 @@ class LambdaLayer(Layer):
         The `Layer` class feeding into this layer.
     fn : a function
         The function that applies to the outputs of previous layer.
+    fn_args : a dictionary
+        The arguments for the function (option).
     name : a string or None
         An optional name to attach to this layer.
 
@@ -2571,14 +2573,15 @@ def __init__(
         self,
         layer = None,
         fn = None,
+        kwargs = {},
         name = 'lambda_layer',
     ):
         Layer.__init__(self, name=name)
         self.inputs = layer.outputs
 
         print("  tensorlayer:Instantiate LambdaLayer  %s" % self.name)
         with tf.variable_scope(name) as vs:
-            self.outputs = fn(self.inputs)
+            self.outputs = fn(self.inputs, **kwargs)
 
         self.all_layers = list(layer.all_layers)
         self.all_params = list(layer.all_params)
@@ -2649,6 +2652,8 @@ class SlimNetsLayer(Layer):
         The `Layer` class feeding into this layer.
     slim_layer : a slim network function
         The network you want to stack onto, end with ``return net, end_points``.
+    slim_args : dictionary
+        The arguments for the slim model.
     name : a string or None
         An optional name to attach to this layer.