Gan

Ok, so I think that the modifications I made here can be merged ...

Two main changes as compared to the master:

1. Added some layers
2. Modified the way variable name and scope is handled in layers (and in SequenceNetwork as well)

Change 1 should by no means affect what has been done until now (on the master). However, change 2 may require a bit of adaptation, especially when defining architectures and layers ...

@tiago.pereira I'll let you check and then we can discuss

Also, I think that this will be irrelevant when we'll go to tf-slim anyway !

bob/learn/tensorflow/layers/ConditionConcat.py

@@ -46,7 +46,5 @@ class ConditionConcat(Layer):
 
   def get_graph(self, y):
     
-    batch_size = input_layer.get_shape()[0]
-    yb = tf.reshape(y, [batch_size, 1, 1, self.conditional_dim])
-    return tf.concat([input_layer, y], 1)
+    return tf.concat([self.input_layer, y], 1)