diff --git a/paddle/fluid/pybind/inference_api.cc b/paddle/fluid/pybind/inference_api.cc
index 26247026667158a2f43cdac21bf5600479455e16..e05667d2c7e9ce5c64cfacee4919cd36d7383c0c 100644
--- a/paddle/fluid/pybind/inference_api.cc
+++ b/paddle/fluid/pybind/inference_api.cc
@@ -180,8 +180,14 @@ void BindNativePredictor(py::module *m) {
 }
 
 void BindAnalysisConfig(py::module *m) {
-  py::class_<AnalysisConfig>(*m, "AnalysisConfig")
-      .def(py::init<const AnalysisConfig &>())
+  py::class_<AnalysisConfig> analysis_config(*m, "AnalysisConfig");
+
+  py::enum_<AnalysisConfig::Precision>(analysis_config, "Precision")
+      .value("Float32", AnalysisConfig::Precision::kFloat32)
+      .value("Int8", AnalysisConfig::Precision::kInt8)
+      .export_values();
+
+  analysis_config.def(py::init<const AnalysisConfig &>())
       .def(py::init<const std::string &>())
       .def(py::init<const std::string &, const std::string &>())
       .def("set_model", (void (AnalysisConfig::*)(const std::string &)) &
@@ -215,7 +221,8 @@ void BindAnalysisConfig(py::module *m) {
       .def("specify_input_name", &AnalysisConfig::specify_input_name)
       .def("enable_tensorrt_engine", &AnalysisConfig::EnableTensorRtEngine,
            py::arg("workspace_size") = 1 << 20, py::arg("max_batch_size") = 1,
-           py::arg("min_subgraph_size") = 3)
+           py::arg("min_subgraph_size") = 3,
+           py::arg("precision_mode") = AnalysisConfig::Precision::kFloat32)
       .def("tensorrt_engine_enabled", &AnalysisConfig::tensorrt_engine_enabled)
       .def("switch_ir_debug", &AnalysisConfig::SwitchIrDebug,
            py::arg("x") = true)