Test the lifted function for Dot22Scalar.

theano/sandbox/gpuarray/tests/test_opt.py

@@ -261,11 +261,16 @@ def test_local_lift_dot22scalar():
     y = tensor.matrix()
     a = tensor.scalar()
     o = tensor.blas.Dot22Scalar()(x, y, a)
-    f = theano.function([x, y, a], o, mode=mode_with_gpu)
+    f_cpu = theano.function([x, y, a], o)
+    f_gpu = theano.function([x, y, a], o, mode=mode_with_gpu)
     assert not any(isinstance(n.op, tensor.blas.Dot22Scalar)
-                   for n in f.maker.fgraph.apply_nodes)
+                   for n in f_gpu.maker.fgraph.apply_nodes)
     assert any(isinstance(n.op, GpuGemm)
-               for n in f.maker.fgraph.apply_nodes)
+               for n in f_gpu.maker.fgraph.apply_nodes)
+    x_val = numpy.random.random((2, 3)).astype(theano.config.floatX)
+    y_val = numpy.random.random((3, 4)).astype(theano.config.floatX)
+    a_val = 0.5
+    utt.assert_allclose(f_cpu(x_val, y_val, a_val), f_gpu(x_val, y_val, a_val))
 
 
 def test_local_gpu_subtensor():