add kl_quant chain and polish prepare.sh

test_tipc/config/MobileNetV3/MobileNetV3_large_x1_0-KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

 ===========================cpp_infer_params===========================
-model_name:MobileNetV3_large_x1_0_kl
+model_name:MobileNetV3_large_x1_0_kl_quant
 cpp_infer_type:cls
 cls_inference_model_dir:./MobileNetV3_large_x1_0_kl_quant_infer/
 det_inference_model_dir:

test_tipc/config/MobileNetV3/MobileNetV3_large_x1_0-KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt

+===========================serving_params===========================
+model_name:MobileNetV3_large_x1_0_kl_quant
+python:python3.7
+inference_model_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/slim_model/MobileNetV3_large_x1_0_kl_quant_infer.tar
+trans_model:-m paddle_serving_client.convert
+--dirname:./deploy/paddleserving/MobileNetV3_large_x1_0_kl_quant_infer/
+--model_filename:inference.pdmodel
+--params_filename:inference.pdiparams
+--serving_server:./deploy/paddleserving/MobileNetV3_large_x1_0_kl_quant_serving/
+--serving_client:./deploy/paddleserving/MobileNetV3_large_x1_0_kl_quant_client/
+serving_dir:./deploy/paddleserving
+web_service:null
+--use_gpu:0|null
+pipline:test_cpp_serving_client.py

test_tipc/config/MobileNetV3/MobileNetV3_large_x1_0-KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt

+===========================serving_params===========================
+model_name:MobileNetV3_large_x1_0_kl_quant
+python:python3.7
+inference_model_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileNetV3_large_x1_0_infer.tar
+trans_model:-m paddle_serving_client.convert
+--dirname:./deploy/paddleserving/MobileNetV3_large_x1_0_kl_quant_infer/
+--model_filename:inference.pdmodel
+--params_filename:inference.pdiparams
+--serving_server:./deploy/paddleserving/MobileNetV3_large_x1_0_kl_quant_serving/
+--serving_client:./deploy/paddleserving/MobileNetV3_large_x1_0_kl_quant_client/
+serving_dir:./deploy/paddleserving
+web_service:classification_web_service.py
+--use_gpu:0|null
+pipline:pipeline_http_client.py

test_tipc/config/ResNet/ResNet50_vd-KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt

+===========================serving_params===========================
+model_name:ResNet50_vd_kl_quant
+python:python3.7
+inference_model_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/slim_model/ResNet50_vd_kl_quant_infer.tar
+trans_model:-m paddle_serving_client.convert
+--dirname:./deploy/paddleserving/ResNet50_vd_kl_quant_infer/
+--model_filename:inference.pdmodel
+--params_filename:inference.pdiparams
+--serving_server:./deploy/paddleserving/ResNet50_vd_kl_quant_serving/
+--serving_client:./deploy/paddleserving/ResNet50_vd_kl_quant_client/
+serving_dir:./deploy/paddleserving
+web_service:null
+--use_gpu:0|null
+pipline:test_cpp_serving_client.py

test_tipc/config/ResNet/ResNet50_vd-KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt

+===========================serving_params===========================
+model_name:ResNet50_vd_kl_quant
+python:python3.7
+inference_model_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/slim_model/ResNet50_vd_kl_quant_infer.tar
+trans_model:-m paddle_serving_client.convert
+--dirname:./deploy/paddleserving/ResNet50_vd_kl_quant_infer/
+--model_filename:inference.pdmodel
+--params_filename:inference.pdiparams
+--serving_server:./deploy/paddleserving/ResNet50_vd_kl_quant_serving/
+--serving_client:./deploy/paddleserving/ResNet50_vd_kl_quant_client/
+serving_dir:./deploy/paddleserving
+web_service:classification_web_service.py
+--use_gpu:0|null
+pipline:pipeline_http_client.py

test_tipc/docs/test_inference_cpp.md

@@ -7,8 +7,9 @@ Linux GPU/CPU C++ 推理功能测试的主程序为`test_inference_cpp.sh`，可
 - 推理相关：
 
 |    算法名称     |                 模型名称                  | device_CPU | device_GPU |
-|  :----:   |  :----: |   :----:            |  :----:  |
+| :-------------: | :---------------------------------------: | :--------: | :--------: |
 |   MobileNetV3   |          MobileNetV3_large_x1_0           |    支持    |    支持    |
+|   MobileNetV3   |         MobileNetV3_large_x1_0-KL         |    支持    |    支持    |
 |    PP-ShiTu     | PPShiTu_general_rec、PPShiTu_mainbody_det |    支持    |    支持    |
 |    PP-ShiTu     |           PPShiTu_mainbody_det            |    支持    |    支持    |
 |     PPHGNet     |               PPHGNet_small               |    支持    |    支持    |
@@ -24,6 +25,7 @@ Linux GPU/CPU C++ 推理功能测试的主程序为`test_inference_cpp.sh`，可
 |    PPLCNetV2    |              PPLCNetV2_base               |    支持    |    支持    |
 |     ResNet      |                 ResNet50                  |    支持    |    支持    |
 |     ResNet      |                ResNet50_vd                |    支持    |    支持    |
+|     ResNet      |              ResNet50_vd-KL               |    支持    |    支持    |
 | SwinTransformer |  SwinTransformer_tiny_patch4_window7_224  |    支持    |    支持    |
 
 ## 2. 测试流程(以**ResNet50**为例)

test_tipc/docs/test_serving_infer_cpp.md

@@ -10,6 +10,7 @@ Linux GPU/CPU C++ 服务化部署测试的主程序为`test_serving_infer_cpp.sh
 |    算法名称     |                 模型名称                  | device_CPU | device_GPU |
 | :-------------: | :---------------------------------------: | :--------: | :--------: |
 |   MobileNetV3   |          MobileNetV3_large_x1_0           |    支持    |    支持    |
+|   MobileNetV3   |         MobileNetV3_large_x1_0-KL         |    支持    |    支持    |
 |    PP-ShiTu     | PPShiTu_general_rec、PPShiTu_mainbody_det |    支持    |    支持    |
 |     PPHGNet     |               PPHGNet_small               |    支持    |    支持    |
 |     PPHGNet     |               PPHGNet_tiny                |    支持    |    支持    |
@@ -24,6 +25,7 @@ Linux GPU/CPU C++ 服务化部署测试的主程序为`test_serving_infer_cpp.sh
 |    PPLCNetV2    |              PPLCNetV2_base               |    支持    |    支持    |
 |     ResNet      |                 ResNet50                  |    支持    |    支持    |
 |     ResNet      |                ResNet50_vd                |    支持    |    支持    |
+|     ResNet      |              ResNet50_vd-KL               |    支持    |    支持    |
 | SwinTransformer |  SwinTransformer_tiny_patch4_window7_224  |    支持    |    支持    |
 
 

test_tipc/docs/test_serving_infer_python.md

@@ -10,6 +10,7 @@ Linux GPU/CPU PYTHON 服务化部署测试的主程序为`test_serving_infer_pyt
 |    算法名称     |                 模型名称                  | device_CPU | device_GPU |
 | :-------------: | :---------------------------------------: | :--------: | :--------: |
 |   MobileNetV3   |          MobileNetV3_large_x1_0           |    支持    |    支持    |
+|   MobileNetV3   |         MobileNetV3_large_x1_0-KL         |    支持    |    支持    |
 |    PP-ShiTu     | PPShiTu_general_rec、PPShiTu_mainbody_det |    支持    |    支持    |
 |     PPHGNet     |               PPHGNet_small               |    支持    |    支持    |
 |     PPHGNet     |               PPHGNet_tiny                |    支持    |    支持    |
@@ -24,6 +25,7 @@ Linux GPU/CPU PYTHON 服务化部署测试的主程序为`test_serving_infer_pyt
 |    PPLCNetV2    |              PPLCNetV2_base               |    支持    |    支持    |
 |     ResNet      |                 ResNet50                  |    支持    |    支持    |
 |     ResNet      |                ResNet50_vd                |    支持    |    支持    |
+|     ResNet      |              ResNet50_vd-KL               |    支持    |    支持    |
 | SwinTransformer |  SwinTransformer_tiny_patch4_window7_224  |    支持    |    支持    |
 
 

test_tipc/prepare.sh

@@ -50,8 +50,6 @@ if [[ ${MODE} = "cpp_infer" ]]; then
         echo "################### build opencv ###################"
         rm -rf ./deploy/cpp/opencv-3.4.7.tar.gz ./deploy/cpp/opencv-3.4.7/
         pushd ./deploy/cpp/
-        wget -nc https://paddle-inference-lib.bj.bcebos.com/2.2.2/cxx_c/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda10.1_cudnn7.6.5_trt6.0.1.5/paddle_inference.tgz
-        tar xf paddle_inference.tgz
         wget -nc https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/opencv-3.4.7.tar.gz
         tar -xf opencv-3.4.7.tar.gz
 
@@ -85,6 +83,12 @@ if [[ ${MODE} = "cpp_infer" ]]; then
         popd
         echo "################### build opencv finished ###################"
     fi
+    if [[ ! -d "./deploy/cpp/paddle_inference/" ]]; then
+        pushd ./deploy/cpp/
+        wget -nc https://paddle-inference-lib.bj.bcebos.com/2.2.2/cxx_c/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda10.1_cudnn7.6.5_trt6.0.1.5/paddle_inference.tgz
+        tar xf paddle_inference.tgz
+        popd
+    fi
     if [[ $FILENAME == *infer_cpp_linux_gpu_cpu.txt ]]; then
         cpp_type=$(func_parser_value "${lines[2]}")
         cls_inference_model_dir=$(func_parser_value "${lines[3]}")