remove kmap from csmGrad

theano/sparse/basic.py

@@ -702,7 +702,7 @@ class CSM(gof.Op):
         (g_out,) = gout
         g_data, g_indices, g_indptr, g_shape = csm_properties(g_out)
         # unpack the data vector and wrap it as a 1d TensorType
-        g_data = csm_grad(self.kmap)(x_data, x_indices, x_indptr, x_shape,
+        g_data = csm_grad()(x_data, x_indices, x_indptr, x_shape,
                                      g_data, g_indices, g_indptr, g_shape)
         return [g_data, DisconnectedType()(), DisconnectedType()(), DisconnectedType()()]