Fix test in DebugMode, the output is a numpy matrix, convert it to a numpy.ndarray

theano/sparse/basic.py

@@ -2683,10 +2683,10 @@ class __ComparisonOpSD(gof.op.Op):
         x, y = as_sparse_variable(x), tensor.as_tensor_variable(y)
 
         assert y.type.ndim == 2
+        out = tensor.TensorType(dtype='uint8', broadcastable=(False, False))()
         return gof.Apply(self,
                          [x, y],
-                         [SparseType(dtype='uint8',
-                                     format=x.type.format)()])
+                         [out])
 
     def perform(self, node, inputs, outputs):
         (x, y) = inputs
@@ -2694,7 +2694,9 @@ class __ComparisonOpSD(gof.op.Op):
         assert _is_sparse(x)
         assert x.shape == y.shape
         assert _is_dense(y)
-        out[0] = self.comparison(x, y).astype('uint8')
+        o = self.comparison(x, y).astype('uint8')
+        o = numpy.asarray(o)
+        out[0] = o
 
     def infer_shape(self, node, ins_shapes):
         return [ins_shapes[0]]