Add ernie large c++ inference test (#21365)

* add ernie-large test
test=develop

* add ernie large c++ inference test
test=develop

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

@@ -76,13 +76,6 @@ function(inference_analysis_api_test_with_fake_data_run TARGET_NAME test_binary
              --disable_mkldnn_fc=${disable_fc}) 
 endfunction()
 
-function(inference_analysis_api_test_with_refer_result target install_dir filename)
-    inference_analysis_test(${target} SRCS ${filename}
-        EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
-        ARGS --infer_model=${install_dir}/model --infer_data=${install_dir}/data.txt
-             --refer_result=${install_dir}/result.txt)
-endfunction()
-
 function(inference_analysis_api_qat_test_run TARGET_NAME test_binary fp32_model_dir int8_model_dir data_path)
     inference_analysis_test_run(${TARGET_NAME}
     COMMAND ${test_binary}
@@ -157,6 +150,14 @@ download_model_and_data(${ERNIE_INSTALL_DIR} "Ernie_model.tar.gz" "Ernie_data.tx
 download_result(${ERNIE_INSTALL_DIR} "Ernie_result.txt.tar.gz")
 inference_analysis_api_test(test_analyzer_ernie ${ERNIE_INSTALL_DIR} analyzer_ernie_tester.cc)
 
+#Ernie large
+set(ERNIE_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/Ernie_Large")
+download_model_and_data(${ERNIE_INSTALL_DIR} "Ernie_large_model.tar.gz" "Ernie_large_data.txt.tar.gz" "Ernie_large_result.txt.tar.gz")
+download_result(${ERNIE_INSTALL_DIR} "Ernie_large_result.txt.tar.gz")
+inference_analysis_test(test_analyzer_ernie_large SRCS analyzer_ernie_tester.cc
+    EXTRA_DEPS ${INFERENCE_EXTRA_DEPS} benchmark
+    ARGS --infer_model=${ERNIE_INSTALL_DIR}/model --infer_data=${ERNIE_INSTALL_DIR}/data.txt --refer_result=${ERNIE_INSTALL_DIR}/result.txt --ernie_large=true)
+
 # text_classification
 set(TEXT_CLASSIFICATION_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/text_classification")
 download_model_and_data(${TEXT_CLASSIFICATION_INSTALL_DIR} "text-classification-Senta.tar.gz" "text_classification_data.txt.tar.gz")
@@ -180,14 +181,14 @@ set(OCR_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/ocr")
 if (NOT EXISTS ${OCR_INSTALL_DIR})
     inference_download_and_uncompress(${OCR_INSTALL_DIR} "http://paddlemodels.bj.bcebos.com/" "inference-vis-demos%2Focr.tar.gz")
 endif()
-inference_analysis_api_test_with_refer_result(test_analyzer_ocr ${OCR_INSTALL_DIR} analyzer_vis_tester.cc)
+inference_analysis_api_test(test_analyzer_ocr ${OCR_INSTALL_DIR} analyzer_vis_tester.cc)
 
 # mobilenet with transpose op
 set(MOBILENET_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/mobilenet")
 if (NOT EXISTS ${MOBILENET_INSTALL_DIR})
     inference_download_and_uncompress(${MOBILENET_INSTALL_DIR} "http://paddlemodels.bj.bcebos.com/" "inference-vis-demos%2Fmobilenet.tar.gz")
 endif()
-inference_analysis_api_test_with_refer_result(test_analyzer_mobilenet_transpose ${MOBILENET_INSTALL_DIR} analyzer_vis_tester.cc)
+inference_analysis_api_test(test_analyzer_mobilenet_transpose ${MOBILENET_INSTALL_DIR} analyzer_vis_tester.cc)
 
 ### Image classification tests with fake data
 set(IMG_CLASS_TEST_APP "test_analyzer_image_classification")

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

@@ -91,17 +91,18 @@ bool ParseLine(const std::string &line,
   tensors->reserve(4);
 
   int i = 0;
+  auto input_name = FLAGS_ernie_large ? "eval_placeholder_" : "placeholder_";
   for (; i < 3; i++) {
     paddle::PaddleTensor temp;
     ParseTensor<int64_t>(fields[i], &temp);
-    temp.name = "placeholder_" + std::to_string(i);
+    temp.name = input_name + std::to_string(i);
     tensors->push_back(temp);
   }
 
   // input_mask
   paddle::PaddleTensor input_mask;
-  ParseTensor<float>(fields[i++], &input_mask);
-  input_mask.name = "placeholder_3";
+  ParseTensor<float>(fields[i], &input_mask);
+  input_mask.name = input_name + std::to_string(i);
   tensors->push_back(input_mask);
 
   return true;
@@ -176,9 +177,14 @@ TEST(Analyzer_Ernie, fuse_statis) {
   auto fuse_statis = GetFuseStatis(
       static_cast<AnalysisPredictor *>(predictor.get()), &num_ops);
   ASSERT_TRUE(fuse_statis.count("fc_fuse"));
-  ASSERT_EQ(fuse_statis.at("fc_fuse"), 74);
   LOG(INFO) << "num_ops: " << num_ops;
+  if (FLAGS_ernie_large) {
+    ASSERT_EQ(fuse_statis.at("fc_fuse"), 146);
+    EXPECT_EQ(num_ops, 859);
+  } else {
+    ASSERT_EQ(fuse_statis.at("fc_fuse"), 74);
     EXPECT_EQ(num_ops, 295);
+  }
 }
 
 // Compare result of NativeConfig and AnalysisConfig

paddle/fluid/inference/tests/api/tester_helper.h

@@ -44,6 +44,7 @@ DEFINE_string(int8_model, "", "INT8 model path");
 DEFINE_string(infer_data, "", "data file");
 DEFINE_string(refer_result, "", "reference result for comparison");
 DEFINE_int32(batch_size, 1, "batch size");
+DEFINE_bool(ernie_large, false, "Test ernie large");
 DEFINE_bool(with_accuracy_layer, true,
             "Calculate the accuracy while label is in the input");
 DEFINE_bool(enable_fp32, true, "Enable FP32 type prediction");