(*branch_func.mutable_attr())["_device_ordinal"] = device_ordinal_value;
        n->ClearAttr(attr_name);
        n->AddAttr(attr_name, branch_func);
      }
    } else if (HasNodeAttr(n->def(), "_device_ordinal")) {
      // Function call node containing outside compilation.
      n->ClearAttr("_device_ordinal");
      n->AddAttr("_device_ordinal", device_ordinal_value);
    } else {

    dtype = node->attr().at("output_types").list().type(0);
  }
  // Update op name, drop inputs and set attributes required by the Placeholder
  // op.
  *node->mutable_op() = "Placeholder";
  node->clear_attr();
  node->clear_input();
  AddNodeAttr("dtype", dtype, node);
  AddNodeAttr("shape", it->second.shape, node);
  return absl::OkStatus();
}

// Preprocesses GraphDef before it can be converted to Graph by,

}

void TF_ClearAttr(TF_Graph* graph, TF_Operation* op, const char* attr_name,
                  TF_Status* status) {
  using tensorflow::RecordMutation;
  mutex_lock l(graph->mu);
  op->node.ClearAttr(attr_name);
  RecordMutation(graph, *op, "clearing attribute");
}

void TF_SetFullType(TF_Graph* graph, TF_Operation* op,
                    const TF_Buffer* full_type_proto) {