cherry-pick 46152 (#46183)

paddle/fluid/pybind/inference_api.cc

@@ -36,6 +36,10 @@
 #include "paddle/fluid/inference/api/paddle_pass_builder.h"
 #include "paddle/fluid/inference/utils/io_utils.h"
 
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+#include "paddle/phi/core/cuda_stream.h"
+#endif
+
 #ifdef PADDLE_WITH_ONNXRUNTIME
 #include "paddle/fluid/inference/api/onnxruntime_predictor.h"
 #endif
@@ -542,7 +546,13 @@ void BindPaddlePredictor(py::module *m) {
       .def("get_input_names", &PaddlePredictor::GetInputNames)
       .def("get_output_names", &PaddlePredictor::GetOutputNames)
       .def("zero_copy_run", &PaddlePredictor::ZeroCopyRun)
-      .def("clone", &PaddlePredictor::Clone)
+      .def("clone", [](PaddlePredictor &self) { self.Clone(nullptr); })
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+      .def("clone",
+           [](PaddlePredictor &self, phi::CUDAStream &stream) {
+             self.Clone(stream.raw_stream());
+           })
+#endif
       .def("get_serialized_program", &PaddlePredictor::GetSerializedProgram);
 
   auto config = py::class_<PaddlePredictor::Config>(paddle_predictor, "Config");
@@ -583,7 +593,13 @@ void BindNativePredictor(py::module *m) {
       .def("get_input_tensor", &NativePaddlePredictor::GetInputTensor)
       .def("get_output_tensor", &NativePaddlePredictor::GetOutputTensor)
       .def("zero_copy_run", &NativePaddlePredictor::ZeroCopyRun)
-      .def("clone", &NativePaddlePredictor::Clone)
+      .def("clone", [](NativePaddlePredictor &self) { self.Clone(nullptr); })
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+      .def("clone",
+           [](NativePaddlePredictor &self, phi::CUDAStream &stream) {
+             self.Clone(stream.raw_stream());
+           })
+#endif
       .def("scope",
            &NativePaddlePredictor::scope,
            py::return_value_policy::reference);
@@ -626,6 +642,12 @@ void BindAnalysisConfig(py::module *m) {
            &AnalysisConfig::EnableUseGpu,
            py::arg("memory_pool_init_size_mb"),
            py::arg("device_id") = 0)
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+      .def("set_exec_stream",
+           [](AnalysisConfig &self, phi::CUDAStream &stream) {
+             self.SetExecStream(stream.raw_stream());
+           })
+#endif
       .def("enable_xpu",
            &AnalysisConfig::EnableXpu,
            py::arg("l3_workspace_size") = 16 * 1024 * 1024,
@@ -874,7 +896,13 @@ void BindAnalysisPredictor(py::module *m) {
       .def("analysis_argument",
            &AnalysisPredictor::analysis_argument,
            py::return_value_policy::reference)
-      .def("clone", &AnalysisPredictor::Clone)
+      .def("clone", [](AnalysisPredictor &self) { self.Clone(nullptr); })
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+      .def("clone",
+           [](AnalysisPredictor &self, phi::CUDAStream &stream) {
+             self.Clone(stream.raw_stream());
+           })
+#endif
       .def("scope",
            &AnalysisPredictor::scope,
            py::return_value_policy::reference)
@@ -901,7 +929,13 @@ void BindPaddleInferPredictor(py::module *m) {
 #endif
              self.Run();
            })
-      .def("clone", &paddle_infer::Predictor::Clone)
+      .def("clone", [](paddle_infer::Predictor &self) { self.Clone(nullptr); })
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+      .def("clone",
+           [](paddle_infer::Predictor &self, phi::CUDAStream &stream) {
+             self.Clone(stream.raw_stream());
+           })
+#endif
       .def("try_shrink_memory", &paddle_infer::Predictor::TryShrinkMemory)
       .def("clear_intermediate_tensor",
            &paddle_infer::Predictor::ClearIntermediateTensor);