fixed conv3d2d unit test

theano/tensor/nnet/tests/test_conv3d2d.py

@@ -10,7 +10,6 @@ except ImportError:
 from six.moves import xrange
 
 import theano
-import theano.sandbox.cuda as cuda
 from theano.tensor.nnet.conv3d2d import *
 import theano.tests.unittest_tools as utt
 
@@ -75,13 +74,9 @@ def pyconv3d(signals, filters):
     return rval
 
 def check_diagonal_subtensor_view_traces(fn):
-    if cuda.cuda_available:
     for apply_node in fn.maker.fgraph.apply_nodes:
-            print( 'apply_node.op: {0}'.format(apply_node.op, ))
-            print( 'apply_node: {0}'.format(apply_node, ))
-            print( 'apply_node.tag: {0}'.format(apply_node.tag, ))
         if isinstance(apply_node.op, (DiagonalSubtensor, IncDiagonalSubtensor)):
-                assert hasattr(apply_node.tag, 'trace')
+            assert hasattr(apply_node.outputs[0].tag, 'trace')
 
 def test_conv3d(mode=mode_without_gpu, shared=theano.tensor._shared):
     if ndimage is None:
@@ -120,6 +115,7 @@ def test_conv3d(mode=mode_without_gpu, shared=theano.tensor._shared):
                                           (s_signals, gsignals)],
                                  mode=mode,
                                  name='grad')
+    check_diagonal_subtensor_view_traces(gnewconv3d)
 
     t0 = time.time()
     gnewconv3d()
@@ -154,6 +150,7 @@ def test_conv3d(mode=mode_without_gpu, shared=theano.tensor._shared):
     newconv3d = theano.function([], [],
                                 updates={s_output: out},
                                 mode=mode)
+    check_diagonal_subtensor_view_traces(newconv3d)
 
     t0 = time.time()
     newconv3d()
@@ -165,6 +162,7 @@ def test_conv3d(mode=mode_without_gpu, shared=theano.tensor._shared):
                                           (s_signals, gsignals)],
                                  mode=mode,
                                  name='grad')
+    check_diagonal_subtensor_view_traces(gnewconv3d)
 
     t0 = time.time()
     gnewconv3d()