Test sparse.Dot with int16 or complex64 in input and fix this case.

theano/sparse/basic.py

@@ -1505,7 +1505,7 @@ class Dot(gof.op.Op):
         rval = x * y
 
         if x_is_sparse and y_is_sparse:
-            rval = rval.todense()
+            rval = rval.toarray()
 
         out[0] = rval
 

theano/sparse/tests/test_basic.py

@@ -560,6 +560,8 @@ class DotTests(unittest.TestCase):
                        ('float32', 'float64'),
                        ('float64', 'float32'),
                        ('float64', 'float64'),
+                       ('float32', 'int16'),
+                       ('float32', 'complex64'),
                        ]:
             for x_f, y_f in [('csc','csc'),
                              ('csc','csr'),