testing infer_shape: op CAReduce

theano/tensor/tests/test_elemwise.py

@@ -783,6 +783,32 @@ class T_prod_without_zeros_dtype(unittest.TestCase):
                             x)
 
                 idx += 1
+
+
+class TestElemwise(unittest_tools.InferShapeTester):
+
+    def test_infer_shape(self):
+
+        for s_left, s_right in [((5, 6), (5, 6)),
+                           ((5, 6), (5, 1)),
+                           ((5, 6), (1, 6)),
+                           ((5, 1), (5, 6)),
+                           ((1, 6), (5, 6)),
+                           ((2, 3, 4, 5), (2, 3, 4, 5)),
+                           ((2, 3, 4, 5), (2, 3, 1, 5)),
+                            ((2, 3, 4, 5), (1, 3, 4, 5)),
+                            ((2, 1, 4, 5), (2, 3, 4, 5)),
+                            ((2, 3, 4, 1), (2, 3, 4, 5))]:
+            dtype = theano.config.floatX
+            t_left = TensorType(dtype, [(entry == 1) for entry in s_left])()
+            t_right = TensorType(dtype, [(entry == 1) for entry in s_right])()
+            t_left_val = numpy.zeros(s_left)
+            t_right_val = numpy.zeros(s_right)
+            self._compile_and_check([t_left, t_right],
+                            [Elemwise(add)(t_left, t_right)],
+                            [t_left_val, t_right_val], Elemwise)
+
+
 """
 if __name__ == '__main__':
     #unittest.main()
@@ -794,10 +820,10 @@ if __name__ == '__main__':
 """
 
 
-    
+
 if __name__ == '__main__':
 
-    t = test_CAReduce('setUp')
+    t = TestElemwise('setUp')
     t.setUp()
     t.test_infer_shape()