delete useless detection_model_test.cc, test=develop (#2393)

lite/api/detection_model_test.cc

-// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include <gflags/gflags.h>
-#include <gtest/gtest.h>
-#include <fstream>
-#include <vector>
-#include "lite/api/paddle_api.h"
-#include "lite/api/paddle_use_kernels.h"
-#include "lite/api/paddle_use_ops.h"
-#include "lite/api/paddle_use_passes.h"
-#include "lite/api/test_helper.h"
-#include "lite/core/op_registry.h"
-
-DEFINE_bool(is_run_model_optimize,
-            false,
-            "apply model_optimize_tool to model, use optimized model to test");
-
-namespace paddle {
-namespace lite_api {
-
-void OutputOptModel(const std::string& load_model_dir,
-                    const std::string& save_optimized_model_dir) {
-  lite_api::CxxConfig config;
-  config.set_model_dir(load_model_dir);
-  config.set_valid_places({
-      Place{TARGET(kX86), PRECISION(kFloat)},
-      Place{TARGET(kARM), PRECISION(kFloat)},
-  });
-  auto predictor = lite_api::CreatePaddlePredictor(config);
-
-  int ret = system(
-      paddle::lite::string_format("rm -rf %s", save_optimized_model_dir.c_str())
-          .c_str());
-  if (ret == 0) {
-    LOG(INFO) << "delete old optimized model " << save_optimized_model_dir;
-  }
-  predictor->SaveOptimizedModel(save_optimized_model_dir,
-                                LiteModelType::kNaiveBuffer);
-  LOG(INFO) << "Load model from " << load_model_dir;
-  LOG(INFO) << "Save optimized model to " << save_optimized_model_dir;
-}
-
-#ifdef LITE_WITH_LIGHT_WEIGHT_FRAMEWORK
-void Run(const std::string& model_dir,
-         const int repeat,
-         const int warmup_times,
-         const int thread_num) {
-  // set config and create predictor
-  lite_api::MobileConfig config;
-  config.set_model_dir(model_dir);
-  config.set_threads(thread_num);
-  if (thread_num == 1) {
-    config.set_power_mode(LITE_POWER_HIGH);
-  } else {
-    config.set_power_mode(LITE_POWER_NO_BIND);
-  }
-
-  auto predictor = lite_api::CreatePaddlePredictor(config);
-
-  // set input
-  auto input_image = predictor->GetInput(0);
-  input_image->Resize({1, 3, 300, 300});
-  auto input_image_data = input_image->mutable_data<float>();
-  std::ifstream read_file("/data/local/tmp/pjc/ssd_img.txt");
-  if (!read_file.is_open()) {
-    LOG(INFO) << "read image file fail";
-    return;
-  }
-  auto input_shape = input_image->shape();
-  int64_t input_image_size = 1;
-  for (auto t : input_shape) {
-    input_image_size *= t;
-  }
-  for (int i = 0; i < input_image_size; i++) {
-    read_file >> input_image_data[i];
-  }
-
-  // warmup and run
-  for (int i = 0; i < warmup_times; ++i) {
-    predictor->Run();
-  }
-
-  auto start = lite::GetCurrentUS();
-  for (int i = 0; i < repeat; ++i) {
-    predictor->Run();
-  }
-
-  // show result
-  auto end = lite::GetCurrentUS();
-  LOG(INFO) << "================== Speed Report ===================";
-  LOG(INFO) << "Model: " << FLAGS_model_dir << ", threads num " << FLAGS_threads
-            << ", warmup: " << FLAGS_warmup << ", repeats: " << FLAGS_repeats
-            << ", spend " << (end - start) / FLAGS_repeats / 1000.0
-            << " ms in average.";
-
-  auto out = predictor->GetOutput(0);
-  auto out_data = out->data<float>();
-  LOG(INFO) << "output shape:";
-  auto out_shape = out->shape();
-  for (auto t : out_shape) {
-    LOG(INFO) << t;
-  }
-  LOG(INFO) << "output data:";
-  int output_len = 20;
-  for (int i = 0; i < output_len; i++) {
-    LOG(INFO) << out_data[i];
-  }
-}
-#endif
-
-}  // namespace lite_api
-}  // namespace paddle
-
-TEST(Faster_RCNN, test_arm) {
-  std::string save_optimized_model_dir;
-  if (FLAGS_is_run_model_optimize) {
-    save_optimized_model_dir = FLAGS_model_dir + "opt";
-    paddle::lite_api::OutputOptModel(FLAGS_model_dir, save_optimized_model_dir);
-  }
-  std::string run_model_dir =
-      FLAGS_is_run_model_optimize ? save_optimized_model_dir : FLAGS_model_dir;
-  paddle::lite_api::Run(
-      run_model_dir, FLAGS_repeats, FLAGS_threads, FLAGS_warmup);
-}