correcting rop2 test

theano/scan_module/tests/test_scan.py

@@ -2535,10 +2535,10 @@ class T_Scan(unittest.TestCase):
         def rnn_fn(_u, _y, _W):
 
             srng = theano.tensor.shared_randomstreams.RandomStreams(seed)
-            sl_o = theano.tensor.tanh(theano.tensor.dot(_W, (_u + _y + \
-                     srng.uniform(size=v_h0.shape) *
-                                  numpy.asarray(1e-6, dtype=floatX))))
-            return sl_o
+            tmp_val = _u + _y + srng.uniform(size=v_h0.shape) *\
+                        numpy.asarray(1e-6, dtype=floatX)
+            sl_o = theano.tensor.tanh(theano.tensor.dot(_W, tmp_val))
+            return sl_o, tmp_val
 
         u = theano.tensor.matrix('U')
         h0 = theano.tensor.vector('h0')
@@ -2551,9 +2551,9 @@ class T_Scan(unittest.TestCase):
         _W = theano.tensor.specify_shape(W, v_W.shape)
         _W.name = '_W'
 
-        o, _ = theano.scan(rnn_fn,
+        [o,_], _ = theano.scan(rnn_fn,
                            sequences=_u,
-                           outputs_info=_h0,
+                           outputs_info=[_h0, None],
                            non_sequences=_W,
                            name='rnn_fn')
         o = o[-1]