fix Usmm test dtype for a and z variable.

theano/sparse/tests/test_basic.py

@@ -649,9 +649,10 @@ class UsmmTests(unittest.TestCase):
             y_data = numpy.asarray(self.y, dtype=dtype2)
             if format2 != 'dense':
                 y_data = as_sparse_format(y_data, format2)
-            z_data = numpy.asarray(self.z, dtype=dtype3)
+            a_data = numpy.asarray(1.5, dtype=dtype3)
+            z_data = numpy.asarray(self.z, dtype=dtype4)
 
-            f_b_out = f_b(z_data, 1, x_data, y_data)
+            f_b_out = f_b(z_data, a_data, x_data, y_data)
 
             # Can it work inplace?
             inplace = dtype4 == theano.scalar.upcast(dtype1, dtype2, dtype3)
@@ -664,8 +665,8 @@ class UsmmTests(unittest.TestCase):
                 f_a = theano.function([a, x, y], [],
                                       updates=updates,
                                       mode=mode)
-                f_a(1, x_data, y_data)
-                assert abs(z.get_value(borrow=True) - f_b_out).max() < 1e-4
+                f_a(a_data, x_data, y_data)
+                f_a_out = z.get_value(borrow=True)
             else:
                 f_a = theano.function([a, x, y],
                                       z - a * theano.sparse.dot(x, y),