refine test_helper.h

test=develop

paddle/fluid/inference/tests/api/tester_helper.h

@@ -107,12 +107,11 @@ std::unordered_map<std::string, int> GetFuseStatis(PaddlePredictor *predictor,
 }
 
 void SetFakeImageInput(std::vector<std::vector<PaddleTensor>> *inputs,
-                       const std::string &dirname,
-                       const bool is_combined = true) {
+                       const std::string &dirname) {
   // 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(dirname, is_combined);
+      GetFeedTargetShapes(dirname, true, "model", "params");
   int dim1 = feed_target_shapes[0][1];
   int dim2 = feed_target_shapes[0][2];
   int dim3 = feed_target_shapes[0][3];

paddle/fluid/inference/tests/test_helper.h

@@ -93,15 +93,15 @@ void CheckError(const paddle::framework::LoDTensor& output1,
 
 std::unique_ptr<paddle::framework::ProgramDesc> InitProgram(
     paddle::framework::Executor* executor, paddle::framework::Scope* scope,
-    const std::string& dirname, const bool is_combined = false) {
+    const std::string& dirname, const bool is_combined = false,
+    const std::string& prog_filename = "__model_combined__",
+    const std::string& param_filename = "__params_combined__") {
   std::unique_ptr<paddle::framework::ProgramDesc> inference_program;
   if (is_combined) {
     // All parameters are saved in a single file.
     // Hard-coding the file names of program and parameters in unittest.
     // The file names should be consistent with that used in Python API
     //  `fluid.io.save_inference_model`.
-    std::string prog_filename = "model";
-    std::string param_filename = "params";
     inference_program =
         paddle::inference::Load(executor, scope, dirname + "/" + prog_filename,
                                 dirname + "/" + param_filename);
@@ -114,12 +114,15 @@ std::unique_ptr<paddle::framework::ProgramDesc> InitProgram(
 }
 
 std::vector<std::vector<int64_t>> GetFeedTargetShapes(
-    const std::string& dirname, const bool is_combined = false) {
+    const std::string& dirname, const bool is_combined = false,
+    const std::string& prog_filename = "__model_combined__",
+    const std::string& param_filename = "__params_combined__") {
   auto place = paddle::platform::CPUPlace();
   auto executor = paddle::framework::Executor(place);
   auto* scope = new paddle::framework::Scope();
 
-  auto inference_program = InitProgram(&executor, scope, dirname, is_combined);
+  auto inference_program = InitProgram(&executor, scope, dirname, is_combined,
+                                       prog_filename, param_filename);
   auto& global_block = inference_program->Block(0);
 
   const std::vector<std::string>& feed_target_names =