diff --git a/paddle/fluid/inference/api/api_impl.cc b/paddle/fluid/inference/api/api_impl.cc
index 0cf7f27b7cbe7e009246dc4b939da9b9c94f7bc9..7d7a14ed08a9d04c15ece9fc81050d7cb901e02d 100644
--- a/paddle/fluid/inference/api/api_impl.cc
+++ b/paddle/fluid/inference/api/api_impl.cc
@@ -67,14 +67,12 @@ void NativePaddlePredictor::PrepareFeedFetch() {
       }
       feeds_[idx] = op;
       feed_names_[op->Output("Out")[0]] = idx;
-      LOG(ERROR) << "feed " << idx << " " << op->Output("Out")[0];
     } else if (op->Type() == "fetch") {
       int idx = boost::get<int>(op->GetAttr("col"));
       if (fetchs_.size() <= idx) {
         fetchs_.resize(idx + 1);
       }
       fetchs_[idx] = op;
-      LOG(ERROR) << "fetch " << idx << " " << op->Input("X")[0];
     }
   }
 }
@@ -216,8 +214,7 @@ bool NativePaddlePredictor::SetFeed(const std::vector<PaddleTensor> &inputs,
     input.set_lod(lod);
     int idx = -1;
     if (config_.specify_input_name) {
-      idx =
-          boost::get<int>(feeds_[feed_names_[inputs[i].name]]->GetAttr("col"));
+      idx = feed_names_[inputs[i].name];
     } else {
       idx = boost::get<int>(feeds_[i]->GetAttr("col"));
     }
@@ -231,7 +228,6 @@ bool NativePaddlePredictor::GetFetch(std::vector<PaddleTensor> *outputs,
   VLOG(3) << "Predictor::get_fetch";
   outputs->resize(fetchs_.size());
   for (size_t i = 0; i < fetchs_.size(); ++i) {
-    std::string fetch_target_name = fetchs_[i]->Input("X")[0];
     int idx = boost::get<int>(fetchs_[i]->GetAttr("col"));
     PADDLE_ENFORCE(idx == i);
     framework::LoDTensor &output =