[benchmark] support lite light api & optimize benchmark flags (#1950)

* [benchmark] support lite light api & optimize benchmark flags

* [backend] remove un-used option member

* [backend] remove un-used option member

benchmark/cpp/benchmark.cc

@@ -33,16 +33,11 @@ DEFINE_string(tensors, "tensor_a.txt:tensor_b.txt",
               "The paths to dumped tensors.");
 DEFINE_bool(mem, false, "Whether to force to collect memory info.");
 DEFINE_int32(interval, -1, "Sampling interval for collect memory info.");
-DEFINE_string(model_file, "UNKNOWN",
-              "Optional, set specific model file,"
-              "eg, model.pdmodel, model.onnx");
-DEFINE_string(params_file, "",
-              "Optional, set specific params file,"
-              "eg, model.pdiparams.");
 DEFINE_string(model_format, "PADDLE",
               "Optional, set specific model format,"
               "eg, PADDLE/ONNX/RKNN/TORCHSCRIPT/SOPHGO");
 DEFINE_bool(disable_mkldnn, false, "disable mkldnn for paddle backend");
+DEFINE_string(optimized_model_dir, "", "Set optimized model dir for lite backend.");
 
 #if defined(ENABLE_BENCHMARK)
 static std::vector<int64_t> GetInt64Shape(const std::vector<int>& shape) {
@@ -117,15 +112,25 @@ static void RuntimeProfiling(int argc, char* argv[]) {
   auto model_format = fastdeploy::ModelFormat::PADDLE;
   if (FLAGS_model_file != "UNKNOWN") {
     // Set model file/param/format via command line
+    if (FLAGS_model != "") {
       model_file = FLAGS_model + sep + FLAGS_model_file;
       params_file = FLAGS_model + sep + FLAGS_params_file;
+    } else {
+      model_file = FLAGS_model_file;
+      params_file = FLAGS_params_file;
+    }
     model_format = GetModelFormat(FLAGS_model_format);
     if (model_format == fastdeploy::ModelFormat::PADDLE &&
         FLAGS_params_file == "") {
+      if (config_info["backend"] != "lite") {
         std::cout << "[ERROR] params_file can not be empty for PADDLE"
                 << " format, Please, set your custom params_file manually."
                 << std::endl;
         return;
+      } else {
+        std::cout << "[INFO] Will using the lite light api for: " 
+                  << model_file << std::endl;
+      }
     }
   } else {
     // Set model file/param/format via model dir (only support
@@ -140,6 +145,16 @@ static void RuntimeProfiling(int argc, char* argv[]) {
 
   option.SetModelPath(model_file, params_file, model_format);
 
+  // Set opt model dir
+  if (config_info["backend"] == "lite") {
+    if (FLAGS_optimized_model_dir != "") {
+      option.paddle_lite_option.optimized_model_dir = 
+        FLAGS_optimized_model_dir;
+    } else {
+      option.paddle_lite_option.optimized_model_dir = FLAGS_model;
+    }
+  }
+
   // Get input shapes/names/dtypes
   std::vector<std::vector<int32_t>> input_shapes =
       benchmark::ResultManager::GetInputShapes(FLAGS_shapes);

benchmark/cpp/flags.h

@@ -33,6 +33,12 @@ DEFINE_string(config_path, "config.txt", "Path of benchmark config.");
 DEFINE_int32(warmup, -1, "Number of warmup for profiling.");
 DEFINE_int32(repeat, -1, "Number of repeats for profiling.");
 DEFINE_int32(xpu_l3_cache, -1, "Size xpu l3 cache for profiling.");
+DEFINE_string(model_file, "UNKNOWN",
+              "Optional, set specific model file,"
+              "eg, model.pdmodel, model.onnx");
+DEFINE_string(params_file, "",
+              "Optional, set specific params file,"
+              "eg, model.pdiparams.");
 
 static void PrintUsage() {
   std::cout << "Usage: infer_demo --model model_path --image img_path "
@@ -50,8 +56,12 @@ static void PrintBenchmarkInfo(std::unordered_map<std::string,
   std::vector<std::string> model_names;
   fastdeploy::benchmark::Split(FLAGS_model, model_names, sep);
   if (model_names.empty()) {
-    std::cout << "Directory of the inference model is invalid!!!" << std::endl;
+    if (FLAGS_model_file != "UNKNOWN") {
-    return;
+      model_names.push_back(FLAGS_model_file);
+    } else {
+      std::cout << "[WARNING] Directory of the inference model is empty!!!" 
+                << std::endl;
+    }
   }
   // Save benchmark info
   int warmup = std::stoi(config_info["warmup"]);
@@ -65,7 +75,9 @@ static void PrintBenchmarkInfo(std::unordered_map<std::string,
   std::stringstream ss;
   ss.precision(3);
   ss << "\n======= Model Info =======\n";
+  if (!model_names.empty()) {
     ss << "model_name: " << model_names[model_names.size() - 1] << std::endl;
+  }
   ss << "profile_mode: " << config_info["profile_mode"] << std::endl;
   if (config_info["profile_mode"] == "runtime") {
     ss << "include_h2d_d2h: " << config_info["include_h2d_d2h"] << std::endl;

fastdeploy/runtime/backends/lite/lite_backend.cc

@@ -94,6 +94,24 @@ bool LiteBackend::Init(const RuntimeOption& runtime_option) {
     return false;
   }
 
+  if (runtime_option.params_file == "") {
+    // Use light api for Arm CPU via MobileConfig.    
+    FDASSERT(runtime_option.device == Device::CPU, 
+      "In FastDeploy, Paddle Lite light API is only support for Arm CPU now!")
+    mobile_config_.set_model_from_file(runtime_option.model_file);
+    mobile_config_.set_threads(runtime_option.paddle_lite_option.cpu_threads);
+    mobile_config_.set_power_mode(static_cast<paddle::lite_api::PowerMode>(
+                                  runtime_option.paddle_lite_option.power_mode));
+    // TODO(qiuyanjun): Add OpenCL support for mobile gpu. 
+    // Paddle-Lite/blob/develop/lite/api/tools/benchmark/benchmark.h#L265 
+    // mobile_config_.set_opencl_tune(
+    //    tune_mode, opencl_cache_dir, opencl_tuned_file);
+    // mobile_config_.set_opencl_precision(gpu_precision);
+    predictor_ =
+        paddle::lite_api::CreatePaddlePredictor<paddle::lite_api::MobileConfig>(
+            mobile_config_);                              
+  } else {
+    // Use full api for many hardwares via CxxConfig.
     config_.set_model_file(runtime_option.model_file);
     config_.set_param_file(runtime_option.params_file);
     BuildOption(runtime_option.paddle_lite_option);
@@ -107,6 +125,7 @@ bool LiteBackend::Init(const RuntimeOption& runtime_option) {
           option_.optimized_model_dir,
           paddle::lite_api::LiteModelType::kNaiveBuffer);
     }
+  }
   
   inputs_desc_.clear();
   outputs_desc_.clear();

fastdeploy/runtime/backends/lite/lite_backend.h

@@ -48,8 +48,9 @@ class LiteBackend : public BaseBackend {
   std::vector<TensorInfo> GetOutputInfos() override;
 
  private:
+  // Build CxxConfig from option for Paddle Lite full api.
   void BuildOption(const LiteBackendOption& option);
-
+  // Configure many hardwares for Paddle Lite full api.
   void ConfigureCpu(const LiteBackendOption& option);
   void ConfigureGpu(const LiteBackendOption& option);
   void ConfigureTimvx(const LiteBackendOption& option);
@@ -59,6 +60,7 @@ class LiteBackend : public BaseBackend {
 
   paddle::lite_api::CxxConfig config_;
   std::shared_ptr<paddle::lite_api::PaddlePredictor> predictor_;
+  paddle::lite_api::MobileConfig mobile_config_;
   std::vector<TensorInfo> inputs_desc_;
   std::vector<TensorInfo> outputs_desc_;
   std::map<std::string, int> inputs_order_;

fastdeploy/runtime/backends/lite/option.h

@@ -61,6 +61,9 @@ struct LiteBackendOption {
   Device device = Device::CPU;
   // Index of inference device
   int device_id = 0;
+  // TODO(qiuyanjun): add opencl binary path and cache settings.
+  std::string opencl_cache_dir = "/data/local/tmp/";
+  std::string opencl_tuned_file = "/data/local/tmp/opencl_tuned_kernels.bin";
 
   /// kunlunxin_l3_workspace_size
   int kunlunxin_l3_workspace_size = 0xfffc00;

scripts/android/build_android_cpp_opencl_with_benchmark.sh

@@ -0,0 +1,120 @@
+#!/bin/bash
+set -e
+set +x
+
+# -------------------------------------------------------------------------------
+#                        mutable global variables
+# -------------------------------------------------------------------------------
+TOOLCHAIN=clang # gcc/clang toolchain
+
+# -------------------------------------------------------------------------------
+#                        readonly global variables
+# -------------------------------------------------------------------------------
+readonly ROOT_PATH=$(pwd)
+readonly ANDROID_ABI=$1
+readonly ANDROID_PLATFORM="android-$2"
+readonly BUILD_ROOT=build/Android
+readonly BUILD_DIR=${BUILD_ROOT}/${ANDROID_ABI}-api-$2
+
+# -------------------------------------------------------------------------------
+#                                 tasks
+# -------------------------------------------------------------------------------
+__make_build_dir() {
+  if [ ! -d "${BUILD_DIR}" ]; then
+    echo "-- [INFO] BUILD_DIR: ${BUILD_DIR} not exists, setup manually ..."
+    if [ ! -d "${BUILD_ROOT}" ]; then
+      mkdir -p "${BUILD_ROOT}" && echo "-- [INFO] Created ${BUILD_ROOT} !"
+    fi
+    mkdir -p "${BUILD_DIR}" && echo "-- [INFO] Created ${BUILD_DIR} !"
+  else
+    echo "-- [INFO] Found BUILD_DIR: ${BUILD_DIR}"
+  fi
+}
+
+__check_cxx_envs() {
+  if [ $LDFLAGS ]; then
+    echo "-- [INFO] Found LDFLAGS: ${LDFLAGS}, \c"
+    echo "unset it before crossing compiling ${ANDROID_ABI}"
+    unset LDFLAGS
+  fi
+  if [ $CPPFLAGS ]; then
+    echo "-- [INFO] Found CPPFLAGS: ${CPPFLAGS}, \c"
+    echo "unset it before crossing compiling ${ANDROID_ABI}"
+    unset CPPFLAGS
+  fi
+  if [ $CPLUS_INCLUDE_PATH ]; then
+    echo "-- [INFO] Found CPLUS_INCLUDE_PATH: ${CPLUS_INCLUDE_PATH}, \c"
+    echo "unset it before crossing compiling ${ANDROID_ABI}"
+    unset CPLUS_INCLUDE_PATH
+  fi
+  if [ $C_INCLUDE_PATH ]; then
+    echo "-- [INFO] Found C_INCLUDE_PATH: ${C_INCLUDE_PATH}, \c"
+    echo "unset it before crossing compiling ${ANDROID_ABI}"
+    unset C_INCLUDE_PATH
+  fi
+}
+
+__set_android_ndk() {
+  if [ -z $ANDROID_NDK ]; then
+    echo "-- [INFO] ANDROID_NDK not exists, please setup manually ..."
+    exit 0
+  else
+    echo "-- [INFO] Found ANDROID_NDK: ${ANDROID_NDK}"
+  fi
+  if [ "$ANDROID_NDK" ]; then
+      NDK_VERSION=$(echo $ANDROID_NDK | egrep -o "[0-9]{2}" | head -n 1)
+      if [ "$NDK_VERSION" -gt 17 ]; then
+          TOOLCHAIN=clang
+      fi
+      echo "-- [INFO] Checked ndk version: ${NDK_VERSION}"
+      echo "-- [INFO] Selected toolchain: ${TOOLCHAIN}"
+  fi
+}
+
+__build_fastdeploy_android_shared() {
+
+  local ANDROID_STL=c++_shared  # c++_static
+  local ANDROID_TOOLCHAIN=${TOOLCHAIN}
+  local TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake
+  local FASDEPLOY_INSTALL_DIR="${ROOT_PATH}/${BUILD_DIR}/install"
+  cd "${BUILD_DIR}" && echo "-- [INFO] Working Dir: ${PWD}"
+
+  cmake -DCMAKE_TOOLCHAIN_FILE=${TOOLCHAIN_FILE} \
+        -DCMAKE_BUILD_TYPE=MinSizeRel \
+        -DANDROID_ABI=${ANDROID_ABI} \
+        -DANDROID_NDK=${ANDROID_NDK} \
+        -DANDROID_PLATFORM=${ANDROID_PLATFORM} \
+        -DANDROID_STL=${ANDROID_STL} \
+        -DANDROID_TOOLCHAIN=${ANDROID_TOOLCHAIN} \
+        -DENABLE_ORT_BACKEND=OFF \
+        -DENABLE_LITE_BACKEND=ON \
+        -DENABLE_PADDLE2ONNX=OFF \
+        -DENABLE_FLYCV=ON \
+        -DENABLE_TEXT=OFF \
+        -DENABLE_VISION=ON \
+        -DBUILD_EXAMPLES=OFF \
+        -DENABLE_BENCHMARK=ON \
+        -DWITH_OPENCL=ON \
+        -DWITH_ANDROID_OPENCV_STATIC=OFF \
+        -DWITH_ANDROID_LITE_STATIC=OFF \
+        -DWITH_ANDROID_OPENMP=OFF \
+        -DWITH_TESTING=OFF \
+        -DCMAKE_INSTALL_PREFIX=${FASDEPLOY_INSTALL_DIR} \
+        -Wno-dev ../../.. && make -j8 && make install
+
+  echo "-- [INFO][built][${ANDROID_ABI}][${BUILD_DIR}/install]"
+}
+
+main() {
+  __make_build_dir
+  __check_cxx_envs
+  __set_android_ndk
+  __build_fastdeploy_android_shared
+  exit 0
+}
+
+main
+
+# Usage:
+# ./scripts/android/build_android_cpp_opencl_with_benchmark.sh arm64-v8a 21
+# ./scripts/android/build_android_cpp_opencl_with_benchmark.sh armeabi-v7a 21