add tutorial LayerList

examples/basic_tutorials/tutorial_LayerList.py

@@ -0,0 +1,34 @@
+#! /usr/bin/python
+# -*- coding: utf-8 -*-
+
+from tensorlayer.layers import Module, LayerList, Dense
+import tensorlayer as tl
+
+d1 = Dense(n_units=800, act=tl.ReLU, in_channels=784, name='Dense1')
+d2 = Dense(n_units=800, act=tl.ReLU, in_channels=800, name='Dense2')
+d3 = Dense(n_units=10, act=tl.ReLU, in_channels=800, name='Dense3')
+
+layer_list = LayerList([d1, d2])
+# Inserts a given d2 before a given index in the list
+layer_list.insert(1, d2)
+layer_list.insert(2, d2)
+# Appends d2 from a Python iterable to the end of the list.
+layer_list.extend([d2])
+# Appends a given d3 to the end of the list.
+layer_list.append(d3)
+
+print(layer_list)
+
+class model(Module):
+    def __init__(self):
+        super(model, self).__init__()
+        self._list = layer_list
+    def forward(self, inputs):
+        output = self._list[0](inputs)
+        for i in range(1, len(self._list)):
+            output = self._list[i](output)
+        return output
+
+net = model()
+print(net)
+print(net(tl.layers.Input((10, 784))))

tensorlayer/layers/core/core_tensorflow.py

@@ -678,10 +678,9 @@ class LayerList(Module):
     Examples:
 
     """
-    def __init__(self, *args, **kwargs):
+    def __init__(self, args):
         super(LayerList, self).__init__()
-        if len(args) == 1:
-            self.extend(args[0])
+        self.extend(args)
 
     def __getitem__(self, index):
         if isinstance(index, slice):