make mobilenet test reuse resnet50 test

paddle/fluid/inference/tests/api/CMakeLists.txt

@@ -83,13 +83,8 @@ inference_analysis_api_test_with_fake_data(test_analyzer_resnet50
   "${INFERENCE_DEMO_INSTALL_DIR}/resnet50" analyzer_resnet50_tester.cc "resnet50_model.tar.gz")
 
 # mobilenet
-set(MOBILENET_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/mobilenet")
-if (NOT EXISTS ${MOBILENET_INSTALL_DIR})
-  inference_download_and_uncompress(${MOBILENET_INSTALL_DIR} "http://paddle-inference-dist.bj.bcebos.com/tensorrt_test" "mobilenet.tar.gz")
-  file(RENAME ${MOBILENET_INSTALL_DIR}/mobilenet/__model__ ${MOBILENET_INSTALL_DIR}/mobilenet/model)
-endif()
-inference_analysis_test(test_analyzer_mobilenet SRCS analyzer_mobilenet_tester.cc
-  EXTRA_DEPS ${INFERENCE_EXTRA_DEPS} ARGS --infer_model=${MOBILENET_INSTALL_DIR}/mobilenet)
+inference_analysis_api_test_with_fake_data(test_analyzer_mobilenet 
+  "${INFERENCE_DEMO_INSTALL_DIR}/mobilenet" analyzer_resnet50_tester.cc "mobilenet_model.tar.gz")
 
 # anakin
 if (WITH_ANAKIN AND WITH_MKL) # only needed in CI

paddle/fluid/inference/tests/api/analyzer_mobilenet_tester.cc

-/* Copyright (c) 2018 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 <fstream>
-#include <iostream>
-#include "paddle/fluid/inference/tests/api/tester_helper.h"
-
-namespace paddle {
-namespace inference {
-namespace analysis {
-
-void SetConfig(AnalysisConfig *cfg) {
-  cfg->model_dir = FLAGS_infer_model;
-  cfg->use_gpu = false;
-  cfg->device = 0;
-  cfg->enable_ir_optim = true;
-  cfg->specify_input_name = true;
-}
-
-void SetInput(std::vector<std::vector<PaddleTensor>> *inputs) {
-  SetFakeImageInput(inputs, FLAGS_infer_model);
-}
-
-// Easy for profiling independently.
-void profile(bool use_mkldnn = false) {
-  AnalysisConfig cfg;
-  SetConfig(&cfg);
-  cfg._use_mkldnn = use_mkldnn;
-  std::vector<PaddleTensor> outputs;
-
-  std::vector<std::vector<PaddleTensor>> input_slots_all;
-  SetInput(&input_slots_all);
-  TestPrediction(cfg, input_slots_all, &outputs, FLAGS_num_threads);
-}
-
-TEST(Analyzer_mobilenet, profile) { profile(); }
-#ifdef PADDLE_WITH_MKLDNN
-TEST(Analyzer_mobilenet, profile_mkldnn) { profile(true /* use_mkldnn */); }
-#endif
-
-// Check the depthwise_conv pass status
-TEST(Analyzer_mobilenet, depthwise_conv_statis) {
-  AnalysisConfig cfg;
-  SetConfig(&cfg);
-  cfg._use_mkldnn = true;
-  int num_ops;
-  auto predictor = CreatePaddlePredictor<AnalysisConfig>(cfg);
-  auto fuse_statis = GetFuseStatis(
-      static_cast<AnalysisPredictor *>(predictor.get()), &num_ops);
-  LOG(INFO) << "num_ops: " << num_ops;
-}
-
-// Compare result of NativeConfig and AnalysisConfig
-void compare(bool use_mkldnn = false) {
-  AnalysisConfig cfg;
-  SetConfig(&cfg);
-  cfg._use_mkldnn = use_mkldnn;
-
-  std::vector<std::vector<PaddleTensor>> input_slots_all;
-  SetInput(&input_slots_all);
-  CompareNativeAndAnalysis(cfg, input_slots_all);
-}
-
-TEST(Analyzer_mobilenet, compare) { compare(); }
-#ifdef PADDLE_WITH_MKLDNN
-TEST(Analyzer_mobilenet, compare_mkldnn) { compare(true /* use_mkldnn */); }
-#endif
-
-}  // namespace analysis
-}  // namespace inference
-}  // namespace paddle