diff --git a/paddle/fluid/inference/tests/api/tester_helper.h b/paddle/fluid/inference/tests/api/tester_helper.h
index c743354e0e73097d23609c159cd14f73bc78e8ff..2811eb4946ea025cf6c7ab197c4e603df86f6f2d 100644
--- a/paddle/fluid/inference/tests/api/tester_helper.h
+++ b/paddle/fluid/inference/tests/api/tester_helper.h
@@ -56,13 +56,6 @@ DECLARE_int32(paddle_num_threads);
 namespace paddle {
 namespace inference {
 
-float Random(float low, float high) {
-  static std::random_device rd;
-  static std::mt19937 mt(rd());
-  std::uniform_real_distribution<double> dist(low, high);
-  return dist(mt);
-}
-
 void PrintConfig(const PaddlePredictor::Config *config, bool use_analysis) {
   const auto *analysis_config =
       reinterpret_cast<const AnalysisConfig *>(config);
@@ -146,7 +139,8 @@ void SetFakeImageInput(std::vector<std::vector<PaddleTensor>> *inputs,
                        const std::string &dirname, bool is_combined = true,
                        std::string model_filename = "model",
                        std::string params_filename = "params",
-                       const std::vector<std::string> *feed_names = nullptr) {
+                       const std::vector<std::string> *feed_names = nullptr,
+                       const int continuous_inuput_index = 0) {
   // Set fake_image_data
   PADDLE_ENFORCE_EQ(FLAGS_test_all_data, 0, "Only have single batch of data.");
   std::vector<std::vector<int64_t>> feed_target_shapes = GetFeedTargetShapes(
@@ -183,7 +177,8 @@ void SetFakeImageInput(std::vector<std::vector<PaddleTensor>> *inputs,
     float *input_data = static_cast<float *>(input.data.data());
     // fill input data, for profile easily, do not use random data here.
     for (size_t j = 0; j < len; ++j) {
-      *(input_data + j) = Random(0.0, 1.0) / 10.;
+      *(input_data + j) =
+          static_cast<float>((j + continuous_inuput_index) % len) / len;
     }
   }
   (*inputs).emplace_back(input_slots);
diff --git a/paddle/fluid/inference/tests/api/trt_models_tester.cc b/paddle/fluid/inference/tests/api/trt_models_tester.cc
index d70b324a4a103eaede09fedb6422d2d130bffbaf..17a433c9d98768dbda4ba93bdceb6cc1717adc07 100644
--- a/paddle/fluid/inference/tests/api/trt_models_tester.cc
+++ b/paddle/fluid/inference/tests/api/trt_models_tester.cc
@@ -119,9 +119,10 @@ void compare_continuous_input(std::string model_dir, bool use_tensorrt) {
     std::vector<std::vector<PaddleTensor>> inputs_all;
     if (!FLAGS_prog_filename.empty() && !FLAGS_param_filename.empty()) {
       SetFakeImageInput(&inputs_all, model_dir, true, FLAGS_prog_filename,
-                        FLAGS_param_filename);
+                        FLAGS_param_filename, nullptr, i);
     } else {
-      SetFakeImageInput(&inputs_all, model_dir, false, "__model__", "");
+      SetFakeImageInput(&inputs_all, model_dir, false, "__model__", "", nullptr,
+                        i);
     }
     CompareNativeAndAnalysis(native_pred.get(), analysis_pred.get(),
                              inputs_all);
diff --git a/paddle/fluid/operators/hierarchical_sigmoid_op.h b/paddle/fluid/operators/hierarchical_sigmoid_op.h
index 1a7ca963010112bbcab69f1ceeb9cb8d19ca9b9e..4d5a84bcafed1ab0739349e1dbc7b5a9f9ad64ec 100644
--- a/paddle/fluid/operators/hierarchical_sigmoid_op.h
+++ b/paddle/fluid/operators/hierarchical_sigmoid_op.h
@@ -136,7 +136,7 @@ class HierarchicalSigmoidOpKernel : public framework::OpKernel<T> {
     sum.mutable_data<T>(framework::make_ddim(sum_dims), ctx.GetPlace());
     auto sum_mat = EigenMatrix<T>::From(sum);
     out->mutable_data<T>(ctx.GetPlace());
-    auto out_mat = framework::EigenVector<T>::Flatten(*out);
+    auto out_mat = framework::EigenMatrix<T>::From(*out);
     if (bias) {
       bit_code->Add(*bias, pre_out);
     }