diff --git a/paddle/fluid/operators/ref_by_trainer_id_op.h b/paddle/fluid/operators/ref_by_trainer_id_op.h
index d84c22ff6148083dad1ed6dc5a3044dfbc211e53..2ce577544ae2437b9297da2190fd09b435d5173c 100644
--- a/paddle/fluid/operators/ref_by_trainer_id_op.h
+++ b/paddle/fluid/operators/ref_by_trainer_id_op.h
@@ -26,7 +26,7 @@ class RefByTrainerIdKernel : public framework::OpKernel<T> {
     auto* out = context.Output<framework::Tensor>("Out");
     auto in_list = context.MultiInput<framework::Tensor>("X");
     auto* trainer_id_t = context.Input<framework::Tensor>("TrainerId");
-    int64_t trainer_id;
+    int64_t trainer_id = 0;
     auto* trainer_id_data = trainer_id_t->data<int64_t>();
     if (platform::is_gpu_place(context.GetPlace())) {
 #ifdef PADDLE_WITH_CUDA
@@ -38,7 +38,6 @@ class RefByTrainerIdKernel : public framework::OpKernel<T> {
     } else {
       trainer_id = *trainer_id_data;
     }
-    printf("after get trainer_id %lu\n", trainer_id);
     PADDLE_ENFORCE_LT(trainer_id, in_list.size());
     out->mutable_data<T>(context.GetPlace());
     out->ShareDataWith(*(in_list[trainer_id]));
diff --git a/python/paddle/fluid/transpiler/distribute_transpiler.py b/python/paddle/fluid/transpiler/distribute_transpiler.py
index 6ef799a1f42e0815e19cb29ffb7e7b14bc85872a..7c7fba76718e911907bb9bef69b3e8688bbf52fc 100644
--- a/python/paddle/fluid/transpiler/distribute_transpiler.py
+++ b/python/paddle/fluid/transpiler/distribute_transpiler.py
@@ -1588,7 +1588,6 @@ to transpile() call.")
         ref_inputs = []
         for p, p_bak in self.param_bak_list:
             if p.name == param_var.name:
-                print("#### ref inputs: ", param_var.name, p_bak.name)
                 ref_inputs.append(p_bak)
         block.append_op(
             type="ref_by_trainer_id",