__instance_type__ -> InstanceType

examples/logistic_regression.py

@@ -11,7 +11,7 @@ import numpy as N
 
 
 class LogisticRegressionN(module.FancyModule):
-    class __instance_type__(module.FancyModuleInstance):
+    class InstanceType(module.FancyModuleInstance):
         def initialize(self, n_in, n_out):
             #self.component is the LogisticRegressionTemplate instance that built this guy.
 
@@ -47,7 +47,7 @@ class LogisticRegressionN(module.FancyModule):
         self.apply = module.Method([self.x], T.argmax(T.dot(self.x, self.w) + self.b, axis=1))
 
 class LogisticRegression2(module.FancyModule):
-    class __instance_type__(module.FancyModuleInstance):
+    class InstanceType(module.FancyModuleInstance):
         def initialize(self, n_in):
             #self.component is the LogisticRegressionTemplate instance that built this guy.
 

theano/compile/module.py

@@ -486,7 +486,7 @@ class ModuleInstance(CompositeInstance):
 
 
 class Module(Composite):
-    __instance_type__ = ModuleInstance
+    InstanceType = ModuleInstance
 
     def __init__(self, components = {}, **kwcomponents):
         super(Module, self).__init__()
@@ -507,7 +507,7 @@ class Module(Composite):
         return self._components.iteritems()
 
     def build(self, mode, memo):
-        inst = self.__instance_type__(self, {})
+        inst = self.InstanceType(self, {})
         for name, c in self._components.iteritems():
             x = c.build(mode, memo)
             if x is not None:
@@ -601,7 +601,7 @@ class FancyModuleInstance(ModuleInstance):
             self.__dict__[attr] = value
 
 class FancyModule(Module):
-    __instance_type__ = FancyModuleInstance
+    InstanceType = FancyModuleInstance
     
     def __wrapper__(self, x):
         return wrap(x)