unify analyzer_face_tester to analyzer_resnet50_tester

test=develop

Author: luotao1

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

@@ -82,26 +82,6 @@ inference_analysis_api_test(test_analyzer_ocr ${OCR_INSTALL_DIR} analyzer_vis_te
 inference_analysis_api_test_with_fake_data(test_analyzer_resnet50 
   "${INFERENCE_DEMO_INSTALL_DIR}/resnet50" analyzer_resnet50_tester.cc "resnet50_model.tar.gz")
 
-# face
-set(FACE_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/face")
-inference_analysis_api_test_with_fake_data(test_analyzer_face_align1
-  "${FACE_INSTALL_DIR}/align1" analyzer_face_tester.cc "face%2Falign1_model.tar.gz")
-inference_analysis_api_test_with_fake_data(test_analyzer_face_align2
-  "${FACE_INSTALL_DIR}/align2" analyzer_face_tester.cc "face%2Falign2_model.tar.gz")
-inference_analysis_api_test_with_fake_data(test_analyzer_face_feature1
-  "${FACE_INSTALL_DIR}/feature1" analyzer_face_tester.cc "face%2Ffeature_id_model.tar.gz")
-# TODO(luotao): Disable this test due to analysis is timeout 10 minutes.
-# inference_analysis_api_test_with_fake_data(test_analyzer_face_feature2
-#  "${FACE_INSTALL_DIR}/feature2" analyzer_face_tester.cc "face%2Ffeature_life_model.tar.gz")
-inference_analysis_api_test_with_fake_data(test_analyzer_face_detect
-  "${FACE_INSTALL_DIR}/detect" analyzer_face_tester.cc "face%2Fdetect_model.tar.gz")
-inference_analysis_api_test_with_fake_data(test_analyzer_face_demark
-  "${FACE_INSTALL_DIR}/demark" analyzer_face_tester.cc "face%2Fdemark_model.tar.gz")
-inference_analysis_api_test_with_fake_data(test_analyzer_face_score
-  "${FACE_INSTALL_DIR}/score" analyzer_face_tester.cc "face%2Fscore_model.tar.gz")
-inference_analysis_api_test_with_fake_data(test_analyzer_face_super_res
-  "${FACE_INSTALL_DIR}/super_res" analyzer_face_tester.cc "face%2Fsuper_res_model.tar.gz")
-
 # anakin
 if (WITH_ANAKIN AND WITH_MKL) # only needed in CI
    # anakin rnn1

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

@@ -43,13 +43,6 @@ void profile(bool use_mkldnn = false) {
   std::vector<std::vector<PaddleTensor>> input_slots_all;
   SetInput(&input_slots_all);
   TestPrediction(cfg, input_slots_all, &outputs, FLAGS_num_threads);
-
-  if (FLAGS_num_threads == 1 && !FLAGS_test_all_data) {
-    PADDLE_ENFORCE_EQ(outputs.size(), 1UL);
-    size_t size = GetSize(outputs[0]);
-    // output is a 512-dimension feature
-    EXPECT_EQ(size, 512 * FLAGS_batch_size);
-  }
 }
 
 TEST(Analyzer_resnet50, profile) { profile(); }
@@ -65,8 +58,7 @@ TEST(Analyzer_resnet50, fuse_statis) {
   auto predictor = CreatePaddlePredictor<AnalysisConfig>(cfg);
   auto fuse_statis = GetFuseStatis(
       static_cast<AnalysisPredictor *>(predictor.get()), &num_ops);
-  ASSERT_TRUE(fuse_statis.count("fc_fuse"));
-  EXPECT_EQ(fuse_statis.at("fc_fuse"), 1);
+  LOG(INFO) << "num_ops: " << num_ops;
 }
 
 // Compare result of NativeConfig and AnalysisConfig