diff --git a/paddle/operators/nccl_op.cc b/paddle/operators/nccl_op.cc
index 8e4edb78bba61ba9deaf5248040b352405cc0856..ae912d7f362efc82b50948791d7f6e81cb997d14 100644
--- a/paddle/operators/nccl_op.cc
+++ b/paddle/operators/nccl_op.cc
@@ -40,28 +40,21 @@ class NCCLInitOp : public framework::OperatorBase {
     // A parallel do may not use all the gpus. For example, the batch size is 7
     // in the last batch while we have 8 gpu. In this case, parallel_do will
     // create 7 parallel scopes, so should ncclInitOp create 7 gpu peers
-    LOG(INFO) << "---------------";
     auto &parallel_scopes = scope.FindVar(Input(kParallelScopes))
                                 ->Get<std::vector<framework::Scope *>>();
-    LOG(INFO) << "---------------";
     std::vector<int> gpus(parallel_scopes.size());
     for (int i = 0; i < static_cast<int>(parallel_scopes.size()); ++i) {
       gpus[i] = i;
     }
-    LOG(INFO) << "---------------";
     PADDLE_ENFORCE(!gpus.empty(), "NCCL init with 0 gpus.");
-    LOG(INFO) << "---------------";
 
     if (scope.FindVar(name) == nullptr) {
       PADDLE_THROW("Output(Communicator) is needed for ncclInit operator.");
     }
-    LOG(INFO) << "---------------";
 
     platform::Communicator *comm =
         scope.FindVar(name)->GetMutable<platform::Communicator>();
-    LOG(INFO) << "---------------";
     comm->InitAll(gpus);
-    LOG(INFO) << "---------------";
   }
 };