[CI][Demo] Add shufflenetv2 in test_libs demo (#3499)

*  Add shufflenetv2 in test_libs demo, test=develop

lite/demo/cxx/test_libs/README.md

+**测试PaddleLite C++预测库**
+
+1、编译full_publish预测库，需要打开build_extra，比如 `./lite/tools/build.sh --arm_os=android --arm_abi=armv8 --arm_lang=gcc --android_stl=c++_static --build_extra=ON full_publish`
+
+2、进入编译产出的目录，比如 `build.lite.android.armv8.gcc/inference_lite_lib.android.armv8/demo/cxx/test_libs`，执行 `sh prepare.sh`，得到所有测试文件在 `test_lite_lib_files` 文件中
+
+3、将 `test_lite_lib_files` 文件push到手机上，进入手机端 `test_lite_lib_files` 目录，执行 `sh run.sh`，查看log信息统计测试结果，其中涵盖测试light库、full库、动态库和静态库。

lite/demo/cxx/test_libs/run.sh

 export LD_LIBRARY_PATH=$PWD/lite/lib/:${LD_LIBRARY_PATH}
 
 # mobilenetv1
-
-./classification_light_shared \
-    --optimized_model_path=models_imgs/models/mobilenetv1.nb \
-    --img_txt_path=models_imgs/images/classification.jpg.txt \
+model_name="mobilenetv1"
+input_params="--img_txt_path=models_imgs/images/classification.jpg.txt \
               --out_max_value=0.936887 \
-    --out_max_value_index=65
+              --out_max_value_index=65"
+echo "Test ${model_name}: light_shared, light_static, full_shared, full_static."
 
-./classification_light_static \
-    --optimized_model_path=models_imgs/models/mobilenetv1.nb \
-    --img_txt_path=models_imgs/images/classification.jpg.txt \
-    --out_max_value=0.936887 \
-    --out_max_value_index=65
+./classification_light_shared ${input_params} \
+    --optimized_model_path=models_imgs/models/mobilenetv1.nb
 
-./classification_full_static \
-    --model_dir=models_imgs/models/mobilenetv1 \
-    --img_txt_path=models_imgs/images/classification.jpg.txt \
-    --out_max_value=0.936887 \
-    --out_max_value_index=65
+./classification_light_static ${input_params} \
+    --optimized_model_path=models_imgs/models/mobilenetv1.nb
 
-./classification_full_shared \
-    --model_dir=models_imgs/models/mobilenetv1 \
-    --img_txt_path=models_imgs/images/classification.jpg.txt \
-    --out_max_value=0.936887 \
-    --out_max_value_index=65
+./classification_full_shared ${input_params} \
+    --model_dir=models_imgs/models/mobilenetv1
 
-# mobilenetv2
+./classification_full_static ${input_params} \
+    --model_dir=models_imgs/models/mobilenetv1
 
-./classification_light_shared \
-    --optimized_model_path=models_imgs/models/mobilenetv2.nb \
-    --img_txt_path=models_imgs/images/classification.jpg.txt \
+# mobilenetv2
+model_name="mobilenetv2"
+input_params="--img_txt_path=models_imgs/images/classification.jpg.txt \
               --out_max_value=0.868888 \
-    --out_max_value_index=65
+              --out_max_value_index=65"
+echo "Test ${model_name}: light_shared, light_static, full_shared, full_static."
 
-./classification_light_static \
-    --optimized_model_path=models_imgs/models/mobilenetv2.nb \
-    --img_txt_path=models_imgs/images/classification.jpg.txt \
-    --out_max_value=0.868888 \
-    --out_max_value_index=65
+./classification_light_shared ${input_params} \
+    --optimized_model_path=models_imgs/models/mobilenetv2.nb
 
-./classification_full_static \
-    --model_dir=models_imgs/models/mobilenetv2 \
-    --img_txt_path=models_imgs/images/classification.jpg.txt \
-    --out_max_value=0.868888 \
-    --out_max_value_index=65
+./classification_light_static ${input_params} \
+    --optimized_model_path=models_imgs/models/mobilenetv2.nb
 
-./classification_full_shared \
-    --model_dir=models_imgs/models/mobilenetv2 \
-    --img_txt_path=models_imgs/images/classification.jpg.txt \
-    --out_max_value=0.868888 \
-    --out_max_value_index=65
+./classification_full_shared ${input_params} \
+    --model_dir=models_imgs/models/mobilenetv2
+
+./classification_full_static ${input_params} \
+    --model_dir=models_imgs/models/mobilenetv2
+
+# shufflenetv2
+model_name="shufflenetv2"
+input_params="--img_txt_path=models_imgs/images/classification.jpg.txt \
+              --out_max_value=0.776729 \
+              --out_max_value_index=65"
+echo "Test ${model_name}: light_shared, light_static, full_shared, full_static."
+
+./classification_light_shared ${input_params} \
+    --optimized_model_path=models_imgs/models/shufflenetv2.nb
+
+./classification_light_static ${input_params} \
+    --optimized_model_path=models_imgs/models/shufflenetv2.nb
+
+./classification_full_shared ${input_params} \
+    --model_dir=models_imgs/models/shufflenetv2
+
+./classification_full_static ${input_params} \
+    --model_dir=models_imgs/models/shufflenetv2
 
 # yolov3
+model_name="yolov3"
+input_params="--img_txt_path=models_imgs/images/yolov3.jpg.txt \
+              --out_values=0,0.153605,174.494,199.729,562.075,604.014"
+echo "Test ${model_name}: light_shared, light_static, full_shared, full_static."
+
+./yolov3_light_shared ${input_params} \
+    --optimized_model_path=models_imgs/models/yolov3_mobilenetv1.nb
+
+./yolov3_light_static ${input_params} \
+    --optimized_model_path=models_imgs/models/yolov3_mobilenetv1.nb
+
+./yolov3_full_shared ${input_params} \
+    --model_dir=models_imgs/models/yolov3_mobilenetv1
 
-./yolov3_light_shared \
-    --optimized_model_path=models_imgs/models/yolov3_mobilenetv1.nb  \
-    --img_txt_path=models_imgs/images/yolov3.jpg.txt \
-    --out_values=0,0.153605,174.494,199.729,562.075,604.014
-
-./yolov3_light_static \
-    --optimized_model_path=models_imgs/models/yolov3_mobilenetv1.nb \
-    --img_txt_path=models_imgs/images/yolov3.jpg.txt \
-    --out_values=0,0.153605,174.494,199.729,562.075,604.014
-
-./yolov3_full_static \
-    --model_dir=models_imgs/models/yolov3_mobilenetv1 \
-    --img_txt_path=models_imgs/images/yolov3.jpg.txt \
-    --out_values=0,0.153605,174.494,199.729,562.075,604.014
-
-./yolov3_full_shared \
-    --model_dir=models_imgs/models/yolov3_mobilenetv1 \
-    --img_txt_path=models_imgs/images/yolov3.jpg.txt \
-    --out_values=0,0.153605,174.494,199.729,562.075,604.014
+./yolov3_full_static ${input_params} \
+    --model_dir=models_imgs/models/yolov3_mobilenetv1