Hide unnecessary API

paddle/fluid/pybind/pybind.cc

@@ -621,13 +621,14 @@ All parameter, weight, gradient are variables in Paddle.
           [](ExecutionStrategy &self, size_t num_iteration_per_drop_scope) {
             self.num_iteration_per_drop_scope_ = num_iteration_per_drop_scope;
           });
-  py::enum_<ExecutionStrategy::ExecutorType>(exec_strategy, "ExecutorType")
-      .value("Default", ExecutionStrategy::kDefault)
-      .value("Experimental", ExecutionStrategy::kExperimental);
   exec_strategy.def_property(
-      "type", [](const ExecutionStrategy &self) { return self.type_; },
-      [](ExecutionStrategy &self, ExecutionStrategy::ExecutorType type) {
-        self.type_ = type;
+      "use_experimental_executor",
+      [](const ExecutionStrategy &self) {
+        return self.type_ == ExecutionStrategy::kExperimental;
+      },
+      [](ExecutionStrategy &self, bool experimental) {
+        self.type_ = experimental ? ExecutionStrategy::kExperimental
+                                  : ExecutionStrategy::kDefault;
       });
 
   py::class_<BuildStrategy> build_strategy(pe, "BuildStrategy");

python/paddle/fluid/tests/unittests/parallel_executor_test_base.py

@@ -71,7 +71,7 @@ class TestParallelExecutorBase(unittest.TestCase):
             exec_strategy = fluid.ExecutionStrategy()
             exec_strategy.allow_op_delay = allow_op_delay
             if use_fast_executor:
-                exec_strategy.type = fluid.ExecutionStrategy.ExecutorType.Experimental
+                exec_strategy.use_experimental_executor = True
 
             build_strategy = fluid.BuildStrategy()
             build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.Reduce \