Apply same workaround for other descriptors

theano/sandbox/cuda/dnn.py

@@ -1322,9 +1322,16 @@ class GpuDnnPoolDesc(GpuOp):
         if self.pad != (0, 0) and version() == -1:
             raise RuntimeError("CuDNN pooling with padding requires CuDNN v2")
 
-        return Apply(self, [],
+        node = Apply(self, [],
                      [CDataType("cudnnPoolingDescriptor_t",
                                 freefunc="cudnnDestroyPoolingDescriptor")()])
+        # DebugMode cannot compare the values of CDataType variables, so by
+        # default it returns False all the time. To prevent DebugMode from
+        # complaining because of the MergeOptimizer, we make this variable
+        # always compare to True.
+        out = node.outputs[0]
+        out.tag.values_eq_approx = tensor.type.values_eq_approx_always_true
+        return node
 
     def c_code(self, node, name, inputs, outputs, sub):
         desc, = outputs

theano/sandbox/gpuarray/dnn.py

@@ -307,9 +307,16 @@ class GpuDnnConvDesc(COp):
         if kern_shape.type.ndim != 1 or kern_shape.type.dtype != 'int64':
             raise TypeError('kern must be 1D shape tensor')
 
-        return Apply(self, [kern_shape],
+        node = Apply(self, [kern_shape],
                      [CDataType("cudnnConvolutionDescriptor_t",
                                 freefunc="cudnnDestroyConvolutionDescriptor")()])
+        # DebugMode cannot compare the values of CDataType variables, so by
+        # default it returns False all the time. To prevent DebugMode from
+        # complaining because of the MergeOptimizer, we make this variable
+        # always compare to True.
+        out = node.outputs[0]
+        out.tag.values_eq_approx = tensor.type.values_eq_approx_always_true
+        return node
 
     def get_op_params(self):
         pad0 = '0'
@@ -998,9 +1005,16 @@ class GpuDnnPoolDesc(Op):
             self.pad = (0, 0)
 
     def make_node(self):
-        return Apply(self, [],
+        node = Apply(self, [],
                      [CDataType("cudnnPoolingDescriptor_t",
                                 freefunc="cudnnDestroyPoolingDescriptor")()])
+        # DebugMode cannot compare the values of CDataType variables, so by
+        # default it returns False all the time. To prevent DebugMode from
+        # complaining because of the MergeOptimizer, we make this variable
+        # always compare to True.
+        out = node.outputs[0]
+        out.tag.values_eq_approx = tensor.type.values_eq_approx_always_true
+        return node
 
     def c_code(self, node, name, inputs, outputs, sub):
         desc, = outputs