Update test for useless tile to use the tile function

theano/tensor/tests/test_opt.py

@@ -62,7 +62,6 @@ from theano.tensor import (
         join,
         Subtensor,
         TensorType,
-        Tile,
         tile
         )
 from theano.tensor.elemwise import DimShuffle
@@ -4219,23 +4218,31 @@ def test_local_mul_specialize():
 
 class T_Tile(unittest.TestCase):
     def test_local_useless_tile(self):
-        # Tile op is deprecated so the tile function doesn't use it
-        # anymore, we'll test here the op directly
         v = T.vector()
         m = T.matrix()
         mode = None
         if theano.config.mode == "FAST_COMPILE":
             mode = "FAST_RUN"
         for var, data in [(v, [1, 2, 3]), (m, [[1, 2], [3, 4]])]:
-            # Currently, only a repeat patter == ndim is supported.
-            for ndim in [var.ndim]:  # range(1, var.ndim):
-                f = theano.function([var], Tile(ndim)(var, (1,)*ndim), mode=mode)
+            # When len(repeat pattern) <= var.ndim, everything is removed
+            # for ndim in range(1, var.ndim):
+            for ndim in range(var.ndim + 1):
+                f = theano.function([var], tile(var, (1,) * ndim), mode=mode)
                 topo = f.maker.fgraph.toposort()
                 assert len(topo) == 1
                 assert isinstance(topo[0].op, compile.DeepCopyOp)
                 f(data)
                 # In this case the opt only removes nodes,
                 # no need to check_stack_trace
+            # When len(repeat pattern) > var.ndim, only a dimshuffle should be
+            # left, but there can be a DeepCopy as well
+            for ndim in range(var.ndim + 1, var.ndim + 3):
+                f = theano.function([var], tile(var, (1,) * ndim), mode=mode)
+                topo = f.maker.fgraph.toposort()
+                assert len(topo) <= 2
+                assert isinstance(topo[0].op, DimShuffle)
+                assert check_stack_trace(f, ops_to_check=[DimShuffle])
+                f(data)
 
 
 def speed_local_pow_specialize_range():