Add GPU test

theano/gpuarray/tests/test_abstractconv.py

@@ -252,3 +252,12 @@ class TestDnnConvTypes(test_abstract_conv.TestConvTypes):
         self.constant_tensor = gpuarray.array(
             numpy.zeros((3, 5, 7, 11), dtype='float32'),
             context=get_context(test_ctx_name))
+
+
+class TestConv2dTranspose(test_abstract_conv.TestConv2dTranspose):
+    mode = mode_with_gpu
+
+    def test_interface(self):
+        if not dnn_available(test_ctx_name):
+            raise SkipTest(dnn_available.msg)
+        super(self, TestConv2dTranspose).test_interface()

theano/tensor/nnet/tests/test_abstract_conv.py

@@ -1552,6 +1552,8 @@ class TestBilinearUpsampling(unittest.TestCase):
 
 
 class TestConv2dTranspose(unittest.TestCase):
+    mode = None
+
     def test_interface(self):
         """Test conv2d_transpose wrapper.
 
@@ -1565,7 +1567,8 @@ class TestConv2dTranspose(unittest.TestCase):
             outputs=conv2d_transpose(input=tensor.ones((2, 2, 4, 4)),
                                      filters=tensor.ones((2, 1, 4, 4)),
                                      output_shape=(2, 1, 10, 10),
-                                     input_dilation=(2, 2)))()
+                                     input_dilation=(2, 2)),
+            mode=self.mode)()
         expected_output = numpy.array(
             [[[[2, 2, 4, 4, 4, 4, 4, 4, 2, 2],
                [2, 2, 4, 4, 4, 4, 4, 4, 2, 2],