fixed bug where T.mean(ndarray) crashes

theano/tensor/basic.py

@@ -2624,7 +2624,7 @@ def mean(input, axis = None, op = False):
         axis = [axis]
     for i in axis:
         s = s / shp[i]
-    if input.dtype.startswith('float'):
+    if str(input.dtype).startswith('float'):
         assert input.dtype == s.dtype
     return s
 

theano/tensor/elemwise.py

@@ -1021,6 +1021,8 @@ class CAReduce(Op):
         return input_dtype
 
     def make_node(self, input):
+        input = as_tensor_variable(input)
+
         if self.axis is not None:
             for axis in self.axis:
                 if axis >= input.type.ndim or (axis<0 and abs(axis)>input.type.ndim):