Updated auto-generated operator modules using the fixed fetch_ops

contrib/Python/cntk/ops/cntk1.py

@@ -60,7 +60,6 @@ class If(ComputationNode):
         self.thenVal = thenVal
         self.elseVal = elseVal
         self.params_with_defaults = []
-        self.inputs = ['cond', 'thenVal', 'elseVal']
 
 class Sign(ComputationNode):
     def __init__(self, x, op_name='Sign', name=None):
@@ -635,9 +634,9 @@ class RectifiedLinear(ComputationNode):
         self.params_with_defaults = []
         self.inputs = ['z']
 
-class ReducePlus(ComputationNode):
-    def __init__(self, z, axis=0, op_name='ReducePlus', name=None):
-        super(ReducePlus, self).__init__(params=['z', 'axis'], op_name=op_name, name=name)
+class ReduceSum(ComputationNode):
+    def __init__(self, z, axis=0, op_name='ReduceSum', name=None):
+        super(ReduceSum, self).__init__(params=['z', 'axis'], op_name=op_name, name=name)
         self.z = z
         self.axis = axis
         self.params_with_defaults = ['axis']
@@ -674,13 +673,6 @@ class Sin(ComputationNode):
         self.params_with_defaults = []
         self.inputs = ['z']
 
-class Softmax(ComputationNode):
-    def __init__(self, z, op_name='Softmax', name=None):
-        super(Softmax, self).__init__(params=['z'], op_name=op_name, name=name)
-        self.z = z
-        self.params_with_defaults = []
-        self.inputs = ['z']
-
 class Hardmax(ComputationNode):
     def __init__(self, z, op_name='Hardmax', name=None):
         super(Hardmax, self).__init__(params=['z'], op_name=op_name, name=name)

contrib/Python/cntk/ops/cntk2.py

@@ -8,6 +8,17 @@
 
 from cntk.graph import ComputationNode, _InputComputationNodeBase, _ImageInputComputationNodeBase
 
+class Slice(ComputationNode):
+    def __init__(self, _, beginIndex, endIndex, axis=1, op_name='CNTK2.Slice',
+            name=None):
+        super(Slice, self).__init__(params=['_', 'beginIndex', 'endIndex', 'axis'], op_name=op_name, name=name)
+        self._ = _
+        self.beginIndex = beginIndex
+        self.endIndex = endIndex
+        self.axis = axis
+        self.inputs = ['_']
+        self.params_with_defaults = ['axis']
+
 class Ceil(ComputationNode):
     def __init__(self, _, op_name='CNTK2.Ceil', name=None):
         super(Ceil, self).__init__(params=['_'], op_name=op_name, name=name)
@@ -37,17 +48,6 @@ class DynamicAxis(ComputationNode):
         self.params_with_defaults = []
         self.inputs = []
 
-class Slice(ComputationNode):
-    def __init__(self, _, beginIndex, endIndex, axis=1, op_name='CNTK2.Slice',
-            name=None):
-        super(Slice, self).__init__(params=['_', 'beginIndex', 'endIndex', 'axis'], op_name=op_name, name=name)
-        self._ = _
-        self.beginIndex = beginIndex
-        self.endIndex = endIndex
-        self.axis = axis
-        self.inputs = ['_']
-        self.params_with_defaults = ['axis']
-
 class Input(_InputComputationNodeBase):
     def __init__(self, shape, dynamicAxis='', tag='feature', op_name='CNTK2.Input', name=None):
         super(Input, self).__init__(params=['shape', 'dynamicAxis', 'tag'], op_name=op_name, name=name)