Fix test. use float32 and enable the GPU.

theano/sandbox/cuda/tests/test_dnn.py

@@ -72,21 +72,21 @@ def test_pooling():
 def test_pooling_opt():
     if not cuda.dnn.dnn_available():
         raise SkipTest(cuda.dnn.dnn_available.msg)
-    
-    x = T.tensor4()
 
-    f = theano.function([x],
+    x = T.ftensor4()
+
+    f = theano.function(
+        [x],
         max_pool_2d(x, ds=(2, 2)),
-        mode=theano.compile.mode.get_mode('FAST_RUN').including("cudnn"))
-    
+        mode=mode_with_gpu.including("cudnn"))
+
     assert any([isinstance(n.op, cuda.dnn.GpuDnnPool)
-        for n in f.maker.fgraph.toposort()])
-        
-    f = theano.function([x],
-        T.grad(max_pool_2d(x, ds=(2, 2)).sum(), x),
-        mode=theano.compile.mode.get_mode('FAST_RUN').including("cudnn"))
-    
-    assert any([isinstance(n.op, cuda.dnn.GpuDnnPoolGrad)
-        for n in f.maker.fgraph.toposort()])
+                for n in f.maker.fgraph.toposort()])
 
+    f = theano.function(
+        [x],
+        T.grad(max_pool_2d(x, ds=(2, 2)).sum(), x),
+        mode=mode_with_gpu.including("cudnn"))
 
+    assert any([isinstance(n.op, cuda.dnn.GpuDnnPoolGrad)
+                for n in f.maker.fgraph.toposort()])