Test for R_op of AbstractConv2d

theano/tests/test_rop.py

@@ -22,7 +22,7 @@ from theano.gof import Op, Apply
 from theano.gradient import grad_undefined
 from theano.tests.unittest_tools import SkipTest
 from theano.tensor.signal.pool import Pool
-from theano.tensor.nnet import conv
+from theano.tensor.nnet import conv, conv2d
 
 '''
 Special Op created to test what happens when you have one op that is not
@@ -260,6 +260,7 @@ class test_RopLop(RopLop_checker):
             (1,))
 
     def test_conv(self):
+        for conv_op in [conv.conv2d, conv2d]:
             for border_mode in ['valid', 'full']:
                 image_shape = (2, 2, 4, 5)
                 filter_shape = (2, 2, 2, 3)
@@ -279,7 +280,7 @@ class test_RopLop(RopLop_checker):
                     [False] * filter_dim)(name='ev_filters')
 
                 def sym_conv2d(input, filters):
-                return conv.conv2d(input, filters, border_mode=border_mode)
+                    return conv_op(input, filters, border_mode=border_mode)
                 output = sym_conv2d(input, filters).flatten()
                 yv = tensor.Rop(output, [input, filters], [ev_input, ev_filters])
                 rop_f = function([input, filters, ev_input, ev_filters],