update lite api. (#29225)

cmake/external/lite.cmake

@@ -36,7 +36,7 @@ if (NOT LITE_SOURCE_DIR OR NOT LITE_BINARY_DIR)
   set(LITE_INSTALL_DIR ${THIRD_PARTY_PATH}/install/lite)
 
   if(NOT LITE_GIT_TAG)
-    set(LITE_GIT_TAG 42ab4d559f6659edfc35040fb30fdcec3dc3f8aa)
+    set(LITE_GIT_TAG release/v2.7)
   endif()
 
   if(NOT CUDA_ARCH_NAME)
@@ -84,10 +84,8 @@ if (NOT LITE_SOURCE_DIR OR NOT LITE_BINARY_DIR)
                           ${EXTERNAL_OPTIONAL_ARGS}
                           ${LITE_OPTIONAL_ARGS}
     )
-    set(LITE_OUTPUT_BIN_DIR inference_lite_lib.armlinux.armv8)
   else()
     set(LITE_BUILD_COMMAND $(MAKE) publish_inference -j)
-    set(LITE_OUTPUT_BIN_DIR inference_lite_lib)
     set(LITE_OPTIONAL_ARGS -DWITH_MKL=ON
                            -DLITE_WITH_CUDA=${WITH_GPU}
                            -DWITH_MKLDNN=OFF
@@ -135,6 +133,12 @@ if (NOT LITE_SOURCE_DIR OR NOT LITE_BINARY_DIR)
 
 endif()
 
+if (WITH_ARM)
+  set(LITE_OUTPUT_BIN_DIR inference_lite_lib.armlinux.armv8)
+else()
+  set(LITE_OUTPUT_BIN_DIR inference_lite_lib)
+endif()
+
 message(STATUS "Paddle-lite BINARY_DIR: ${LITE_BINARY_DIR}")
 message(STATUS "Paddle-lite SOURCE_DIR: ${LITE_SOURCE_DIR}")
 include_directories(${LITE_SOURCE_DIR})

paddle/fluid/inference/lite/engine.cc

@@ -55,8 +55,7 @@ paddle::lite_api::PaddlePredictor* EngineManager::Create(
 #ifdef PADDLE_WITH_ARM
   set_threads.set_threads(cfg.cpu_math_library_num_threads);
 #else
-  lite_cxx_config.set_x86_math_library_num_threads(
-      cfg.cpu_math_library_num_threads);
+  lite_cxx_config.set_x86_math_num_threads(cfg.cpu_math_library_num_threads);
 #endif
 
 #ifdef LITE_SUBGRAPH_WITH_XPU

paddle/fluid/inference/lite/test_engine.cc

@@ -28,6 +28,7 @@ namespace inference {
 namespace lite {
 
 using inference::lite::AddTensorToBlockDesc;
+using paddle::inference::lite::AddFetchListToBlockDesc;
 using inference::lite::CreateTensor;
 using inference::lite::serialize_params;
 
@@ -64,7 +65,7 @@ void make_fake_model(std::string* model, std::string* param) {
   AddTensorToBlockDesc(block_, "x", std::vector<int64_t>({2, 4}), true);
   AddTensorToBlockDesc(block_, "y", std::vector<int64_t>({2, 4}), true);
   AddTensorToBlockDesc(block_, "z", std::vector<int64_t>({2, 4}), false);
-  AddTensorToBlockDesc(block_, "out", std::vector<int64_t>({2, 4}), false);
+  AddFetchListToBlockDesc(block_, "out");
 
   *block_->add_ops() = *feed0->Proto();
   *block_->add_ops() = *feed1->Proto();

paddle/fluid/operators/lite/lite_engine_op_test.cc

@@ -25,6 +25,7 @@
 USE_NO_KERNEL_OP(lite_engine)
 
 using paddle::inference::lite::AddTensorToBlockDesc;
+using paddle::inference::lite::AddFetchListToBlockDesc;
 using paddle::inference::lite::CreateTensor;
 using paddle::inference::lite::serialize_params;
 namespace paddle {
@@ -60,7 +61,7 @@ TEST(LiteEngineOp, engine_op) {
   AddTensorToBlockDesc(block_, "x", std::vector<int64_t>({2, 4}), true);
   AddTensorToBlockDesc(block_, "y", std::vector<int64_t>({2, 4}), true);
   AddTensorToBlockDesc(block_, "z", std::vector<int64_t>({2, 4}), false);
-  AddTensorToBlockDesc(block_, "out", std::vector<int64_t>({2, 4}), false);
+  AddFetchListToBlockDesc(block_, "out");
   *block_->add_ops() = *feed1->Proto();
   *block_->add_ops() = *feed0->Proto();
   *block_->add_ops() = *elt_add->Proto();

paddle/fluid/operators/lite/ut_helper.h

@@ -41,6 +41,16 @@ void AddTensorToBlockDesc(framework::proto::BlockDesc* block,
   desc.SetPersistable(persistable);
   *var = *desc.Proto();
 }
+
+void AddFetchListToBlockDesc(framework::proto::BlockDesc* block,
+                             const std::string& name) {
+  using framework::proto::VarType;
+  auto* var = block->add_vars();
+  framework::VarDesc desc(name);
+  desc.SetType(VarType::FETCH_LIST);
+  *var = *desc.Proto();
+}
+
 void serialize_params(std::string* str, framework::Scope* scope,
                       const std::vector<std::string>& params) {
   std::ostringstream os;