diff --git a/src/framework/loader.cpp b/src/framework/loader.cpp
index a434314730eb40b7e4017050a84a7d9742934396..eb07e9f6155370880f6fb8e302a8e396df17954d 100644
--- a/src/framework/loader.cpp
+++ b/src/framework/loader.cpp
@@ -82,6 +82,54 @@ void Loader<GPU_CL, Precision::FP32>::InitMemoryFromProgram(
     }
   }
 }
+template <>
+const Program<GPU_CL, Precision::FP32>
+Loader<GPU_CL, Precision::FP32>::LoadCombinedMemory(
+    size_t read_size, const uint8_t *buf, size_t combined_params_len,
+    uint8_t *combined_params_buf, bool optimize, bool quantification) {
+  bool can_add_split = false;
+
+  PaddleMobile__Framework__Proto__ProgramDesc *c_program;
+  PADDLE_MOBILE_ENFORCE(buf != nullptr, "read from __model__ is null");
+
+  c_program = paddle_mobile__framework__proto__program_desc__unpack(
+      nullptr, read_size, buf);
+  //
+  PADDLE_MOBILE_ENFORCE(c_program != nullptr, "program is null");
+  //
+  DLOG << "n_ops: " << (*c_program->blocks)->n_ops;
+  //
+
+  auto originProgramDesc = std::make_shared<ProgramDesc>(c_program);
+
+  Program<GPU_CL, Precision::FP32> program;
+  program.combined = true;
+  program.originProgram = originProgramDesc;
+  program.quantification = quantification;
+  program.combined_params_len = combined_params_len;
+  program.combined_params_buf = combined_params_buf;
+
+  auto scope = std::make_shared<Scope>();
+  program.scope = scope;
+  InitMemoryFromProgram(originProgramDesc, scope);
+  if (optimize) {
+    ProgramOptimize program_optimize;
+    program.optimizeProgram =
+        program_optimize.FusionOptimize(originProgramDesc, can_add_split);
+    if (!program.optimizeProgram) {
+      program.optimizeProgram = originProgramDesc;
+    }
+  }
+  if (optimize) {
+    program.optimizeProgram->Description("optimize: ");
+  } else {
+    originProgramDesc->Description("program: ");
+  }
+  paddle_mobile__framework__proto__program_desc__free_unpacked(c_program,
+                                                               nullptr);
+  return program;
+}
+
 #endif
 
 /**
diff --git a/test/framework/test_load_memory_inference_api.cpp b/test/framework/test_load_memory_inference_api.cpp
index 05d51910172547c6dab7adc8231663be55c916bf..5b2773f8f1a21c3b9253b34fc5c18cd64ece27e7 100644
--- a/test/framework/test_load_memory_inference_api.cpp
+++ b/test/framework/test_load_memory_inference_api.cpp
@@ -55,11 +55,11 @@ static char *Get_binary_data(std::string filename) {
 paddle_mobile::PaddleMobileConfig GetConfig() {
   paddle_mobile::PaddleMobileConfig config;
   config.precision = paddle_mobile::PaddleMobileConfig::FP32;
-  config.device = paddle_mobile::PaddleMobileConfig::kCPU;
+  config.device = paddle_mobile::PaddleMobileConfig::kGPU_CL;
   const std::shared_ptr<paddle_mobile::PaddleModelMemoryPack> &memory_pack =
       std::make_shared<paddle_mobile::PaddleModelMemoryPack>();
-  auto model_path = std::string(g_genet_combine) + "/model";
-  auto params_path = std::string(g_genet_combine) + "/params";
+  auto model_path = std::string(g_mobilenet_combined) + "/model";
+  auto params_path = std::string(g_mobilenet_combined) + "/params";
   memory_pack->model_size =
       ReadBuffer(model_path.c_str(), &memory_pack->model_buf);
   std::cout << "sizeBuf: " << memory_pack->model_size << std::endl;