debug

test_tipc/config/MobileNetV3/MobileNetV3_large_x1_0_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:MobileNetV3_large_x1_0
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileNetV3_large_x1_0_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/MobileNetV3_large_x1_0_infer/inference.pdmodel
-cls_params_path:./deploy/models/MobileNetV3_large_x1_0_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PP-ShiTu/PPShiTu_general_rec_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:general_PPLCNet_x2_5_lite_v1.0
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/general_PPLCNet_x2_5_lite_v1.0_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/general_PPLCNet_x2_5_lite_v1.0_infer/inference.pdmodel
-cls_params_path:./deploy/models/general_PPLCNet_x2_5_lite_v1.0_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PP-ShiTu/PPShiTu_mainbody_det_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:picodet_PPLCNet_x2_5_mainbody_lite_v1.0
+cpp_infer_type:shitu
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_infer/inference.pdmodel
-cls_params_path:./deploy/models/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PPHGNet/PPHGNet_small_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:PPHGNet_small
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/PPHGNet_small_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/PPHGNet_small_infer/inference.pdmodel
-cls_params_path:./deploy/models/PPHGNet_small_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PPHGNet/PPHGNet_tiny_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:PPHGNet_tiny
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/PPHGNet_tiny_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/PPHGNet_tiny_infer/inference.pdmodel
-cls_params_path:./deploy/models/PPHGNet_tiny_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PPLCNet/PPLCNet_x0_25_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:PPLCNet_x0_25
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/PPLCNet_x0_25_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/PPLCNet_x0_25_infer/inference.pdmodel
-cls_params_path:./deploy/models/PPLCNet_x0_25_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PPLCNet/PPLCNet_x0_35_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:PPLCNet_x0_35
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/PPLCNet_x0_35_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/PPLCNet_x0_35_infer/inference.pdmodel
-cls_params_path:./deploy/models/PPLCNet_x0_35_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PPLCNet/PPLCNet_x0_5_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:PPLCNet_x0_5
+cpp_infer_type:cls
+cls_inference_model_dir:./deploy/models/PPLCNet_x0_5_infer
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/PPLCNet_x0_5_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/PPLCNet_x0_5_infer/inference.pdmodel
-cls_params_path:./deploy/models/PPLCNet_x0_5_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PPLCNet/PPLCNet_x0_75_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:PPLCNet_x0_75
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/PPLCNet_x0_75_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/PPLCNet_x0_75_infer/inference.pdmodel
-cls_params_path:./deploy/models/PPLCNet_x0_75_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PPLCNet/PPLCNet_x1_0_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:PPLCNet_x1_0
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/PPLCNet_x1_0_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/PPLCNet_x1_0_infer/inference.pdmodel
-cls_params_path:./deploy/models/PPLCNet_x1_0_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PPLCNet/PPLCNet_x1_5_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:PPLCNet_x1_5
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/PPLCNet_x1_5_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/PPLCNet_x1_5_infer/inference.pdmodel
-cls_params_path:./deploy/models/PPLCNet_x1_5_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PPLCNet/PPLCNet_x2_0_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:PPLCNet_x2_0
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/PPLCNet_x2_0_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/PPLCNet_x2_0_infer/inference.pdmodel
-cls_params_path:./deploy/models/PPLCNet_x2_0_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PPLCNet/PPLCNet_x2_5_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:PPLCNet_x2_5
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/PPLCNet_x2_5_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/PPLCNet_x2_5_infer/inference.pdmodel
-cls_params_path:./deploy/models/PPLCNet_x2_5_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/PPLCNetV2/PPLCNetV2_base_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
-model_name:PPLCNet_x0_5
+===========================cpp_infer_params===========================
+model_name:PPLCNetV2_base
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/PPLCNetV2_base_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/PPLCNet_x0_5_infer/inference.pdmodel
-cls_params_path:./deploy/models/PPLCNet_x0_5_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/ResNet/ResNet50_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:ResNet50
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/ResNet50_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/ResNet50_infer/inference.pdmodel
-cls_params_path:./deploy/models/ResNet50_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/ResNet/ResNet50_vd_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:ResNet50_vd
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/ResNet50_vd_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/ResNet50_vd_infer/inference.pdmodel
-cls_params_path:./deploy/models/ResNet50_vd_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/config/SwinTransformer/SwinTransformer_tiny_patch4_window7_224_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt

-# model load config
+===========================cpp_infer_params===========================
 model_name:SwinTransformer_tiny_patch4_window7_224
+cpp_infer_type:cls
+cls_inference_model_dir:./inference/
+det_inference_model_dir:
+cls_inference_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/SwinTransformer_tiny_patch4_window7_224_infer.tar
+det_inference_url:
+infer_quant:False
+inference_cmd:./deploy/cpp/build/clas_system -c inference_cls.yaml
 use_gpu:True|False
-gpu_id:0
-gpu_mem:4000
-cpu_math_library_num_threads:10
-
-# cls config
-cls_model_path:./deploy/models/SwinTransformer_tiny_patch4_window7_224_infer/inference.pdmodel
-cls_params_path:./deploy/models/SwinTransformer_tiny_patch4_window7_224_infer/inference.pdiparams
-resize_short_size:256
-crop_size:224
\ No newline at end of file
+enable_mkldnn:False
+cpu_threads:1
+batch_size:1
+use_tensorrt:False
+precision:fp32
+image_dir:./dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG
+benchmark:False
+generate_yaml_cmd:python3.7 test_tipc/generate_cpp_yaml.py

test_tipc/test_inference_cpp.sh

 #!/bin/bash
 source test_tipc/common_func.sh
 
-function func_parser_key_cpp(){
-    strs=$1
-    IFS=" "
-    array=(${strs})
-    tmp=${array[0]}
-    echo ${tmp}
-}
-
-function func_parser_value_cpp(){
-    strs=$1
-    IFS=":"
-    array=(${strs})
-    tmp=${array[1]}
-    echo ${tmp}
-}
-
 FILENAME=$1
-
-dataline=$(cat ${FILENAME})
-lines=(${dataline})
+GPUID=$2
+if [[ ! $GPUID ]];then
+   GPUID=0
+fi
+dataline=$(awk 'NR==1, NR==18{print}'  $FILENAME)
 
 # parser params
-dataline=$(awk 'NR==1, NR==14{print}'  $FILENAME)
 IFS=$'\n'
 lines=(${dataline})
+# parser cpp inference model
+model_name=$(func_parser_value "${lines[1]}")
+cpp_infer_type=$(func_parser_value "${lines[2]}")
+cpp_infer_model_dir=$(func_parser_value "${lines[3]}")
+cpp_det_infer_model_dir=$(func_parser_value "${lines[4]}")
+cpp_infer_is_quant=$(func_parser_value "${lines[7]}")
+# parser cpp inference
+inference_cmd=$(func_parser_value "${lines[8]}")
+cpp_use_gpu_list=$(func_parser_value "${lines[9]}")
+cpp_use_mkldnn_list=$(func_parser_value "${lines[10]}")
+cpp_cpu_threads_list=$(func_parser_value "${lines[11]}")
+cpp_batch_size_list=$(func_parser_value "${lines[12]}")
+cpp_use_trt_list=$(func_parser_value "${lines[13]}")
+cpp_precision_list=$(func_parser_value "${lines[14]}")
+cpp_image_dir_value=$(func_parser_value "${lines[15]}")
+cpp_benchmark_value=$(func_parser_value "${lines[16]}")
+generate_yaml_cmd=$(func_parser_value "${lines[17]}")
+transform_index_cmd=$(func_parser_value "${lines[18]}")
 
-# parser load config
-model_name=$(func_parser_value_cpp "${lines[1]}")
-use_gpu_key=$(func_parser_key_cpp "${lines[2]}")
-use_gpu_value=$(func_parser_value_cpp "${lines[2]}")
-LOG_PATH="./test_tipc/output/${model_name}/infer_cpp"
+LOG_PATH="./test_tipc/output/${model_name}"
 mkdir -p ${LOG_PATH}
-status_log="${LOG_PATH}/results_infer_cpp.log"
+status_log="${LOG_PATH}/results_cpp.log"
+# generate_yaml_cmd="python3 test_tipc/generate_cpp_yaml.py"
 
-line_inference_model_dir=3
-line_use_gpu=5
-line_infer_imgs=2
-function func_infer_cpp(){
-    # inference cpp
+function func_shitu_cpp_inference(){
     IFS='|'
-    for use_gpu in ${use_gpu_value[*]}; do
-        if [[ ${use_gpu} = "True" ]]; then
-            _save_log_path="${LOG_PATH}/infer_cpp_use_gpu.log"
-        else
-            _save_log_path="${LOG_PATH}/infer_cpp_use_cpu.log"
-        fi
-        # run infer cpp
-        inference_cpp_cmd="./deploy/cpp/build/clas_system"
-        inference_cpp_cfg="./deploy/configs/inference_cls.yaml"
+    _script=$1
+    _model_dir=$2
+    _log_path=$3
+    _img_dir=$4
+    _flag_quant=$5
+    # inference
 
-        set_model_name_cmd="sed -i '${line_inference_model_dir}s#: .*#: ./deploy/models/${model_name}_infer#' '${inference_cpp_cfg}'"
-        eval $set_model_name_cmd
+    for use_gpu in ${cpp_use_gpu_list[*]}; do
+        if [ ${use_gpu} = "False" ] || [ ${use_gpu} = "cpu" ]; then
+            for use_mkldnn in ${cpp_use_mkldnn_list[*]}; do
+                if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then
+                    continue
+                fi
+                for threads in ${cpp_cpu_threads_list[*]}; do
+                    for batch_size in ${cpp_batch_size_list[*]}; do
+                        precision="fp32"
+                        if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then
+                            precison="int8"
+                        fi
+                        _save_log_path="${_log_path}/shitu_cpp_infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_precision_${precision}_batchsize_${batch_size}.log"
 
-        set_infer_imgs_cmd="sed -i '${line_infer_imgs}s#: .*#: ./deploy/images/ILSVRC2012_val_00000010.jpeg#' '${inference_cpp_cfg}'"
-        eval $set_infer_imgs_cmd
+                        command="${generate_yaml_cmd} --type shitu --batch_size ${batch_size} --mkldnn ${use_mkldnn} --gpu ${use_gpu} --cpu_thread ${threads} --tensorrt False --precision ${precision} --data_dir ${_img_dir} --benchmark True --cls_model_dir ${cpp_infer_model_dir} --det_model_dir ${cpp_det_infer_model_dir} --gpu_id ${GPUID}"
+                        eval $command
+                        eval $transform_index_cmd
+                        command="${_script} 2>&1|tee ${_save_log_path}"
+                        eval $command
+                        last_status=${PIPESTATUS[0]}
+                        status_check $last_status "${command}" "${status_log}"
+                    done
+                done
+            done
+        elif [ ${use_gpu} = "True" ] || [ ${use_gpu} = "gpu" ]; then
+            for use_trt in ${cpp_use_trt_list[*]}; do
+                for precision in ${cpp_precision_list[*]}; do
+                    if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then
+                        continue
+                    fi
+                    if [[ ${precision} =~ "fp16" || ${precision} =~ "int8" ]] && [ ${use_trt} = "False" ]; then
+                        continue
+                    fi
+                    if [[ ${use_trt} = "False" || ${precision} =~ "int8" ]] && [ ${_flag_quant} = "True" ]; then
+                        continue
+                    fi
+                    for batch_size in ${cpp_batch_size_list[*]}; do
+                        _save_log_path="${_log_path}/shitu_cpp_infer_gpu_usetrt_${use_trt}_precision_${precision}_batchsize_${batch_size}.log"
+                        command="${generate_yaml_cmd} --type shitu --batch_size ${batch_size} --mkldnn False --gpu ${use_gpu} --cpu_thread 1 --tensorrt ${use_trt} --precision ${precision} --data_dir ${_img_dir} --benchmark True --cls_model_dir ${cpp_infer_model_dir} --det_model_dir ${cpp_det_infer_model_dir} --gpu_id ${GPUID}"
+                        eval $command
+                        eval $transform_index_cmd
+                        command="${_script} 2>&1|tee ${_save_log_path}"
+                        eval $command
+                        last_status=${PIPESTATUS[0]}
+                        status_check $last_status "${_script}" "${status_log}"
+                    done
+                done
+            done
+        else
+            echo "Does not support hardware other than CPU and GPU Currently!"
+        fi
+    done
+}
 
-        set_use_gpu_cmd="sed -i '${line_use_gpu}s#: .*#: ${use_gpu}#' '${inference_cpp_cfg}'"
-        eval $set_use_gpu_cmd
+function func_cls_cpp_inference(){
+    IFS='|'
+    _script=$1
+    _model_dir=$2
+    _log_path=$3
+    _img_dir=$4
+    _flag_quant=$5
+    # inference
 
-        infer_cpp_full_cmd="${inference_cpp_cmd} -c ${inference_cpp_cfg} > ${_save_log_path} 2>&1 "
-        eval $infer_cpp_full_cmd
+    for use_gpu in ${cpp_use_gpu_list[*]}; do
+        if [ ${use_gpu} = "False" ] || [ ${use_gpu} = "cpu" ]; then
+            for use_mkldnn in ${cpp_use_mkldnn_list[*]}; do
+                if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then
+                    continue
+                fi
+                for threads in ${cpp_cpu_threads_list[*]}; do
+                    for batch_size in ${cpp_batch_size_list[*]}; do
+                        precision="fp32"
+                        if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then
+                            precison="int8"
+                        fi
+                        _save_log_path="${_log_path}/cls_cpp_infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_precision_${precision}_batchsize_${batch_size}.log"
 
-        last_status=${PIPESTATUS[0]}
-        status_check $last_status "${infer_cpp_full_cmd}" "${status_log}"  "${model_name}"
+                        command="${generate_yaml_cmd} --type cls --batch_size ${batch_size} --mkldnn ${use_mkldnn} --gpu ${use_gpu} --cpu_thread ${threads} --tensorrt False --precision ${precision} --data_dir ${_img_dir} --benchmark True --cls_model_dir ${cpp_infer_model_dir} --gpu_id ${GPUID}"
+                        eval $command
+                        command1="${_script} 2>&1|tee ${_save_log_path}"
+                        eval ${command1}
+                        last_status=${PIPESTATUS[0]}
+                        status_check $last_status "${command1}" "${status_log}"
+                    done
+                done
+            done
+        elif [ ${use_gpu} = "True" ] || [ ${use_gpu} = "gpu" ]; then
+            for use_trt in ${cpp_use_trt_list[*]}; do
+                for precision in ${cpp_precision_list[*]}; do
+                    if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then
+                        continue
+                    fi
+                    if [[ ${precision} =~ "fp16" || ${precision} =~ "int8" ]] && [ ${use_trt} = "False" ]; then
+                        continue
+                    fi
+                    if [[ ${use_trt} = "False" || ${precision} =~ "int8" ]] && [ ${_flag_quant} = "True" ]; then
+                        continue
+                    fi
+                    for batch_size in ${cpp_batch_size_list[*]}; do
+                        _save_log_path="${_log_path}/cls_cpp_infer_gpu_usetrt_${use_trt}_precision_${precision}_batchsize_${batch_size}.log"
+                        command="${generate_yaml_cmd} --type cls --batch_size ${batch_size} --mkldnn False --gpu ${use_gpu} --cpu_thread 1 --tensorrt ${use_trt} --precision ${precision} --data_dir ${_img_dir} --benchmark True --cls_model_dir ${cpp_infer_model_dir} --gpu_id ${GPUID}"
+                        eval $command
+                        command="${_script} 2>&1|tee ${_save_log_path}"
+                        eval $command
+                        last_status=${PIPESTATUS[0]}
+                        status_check $last_status "${command}" "${status_log}"
+                    done
+                done
+            done
+        else
+            echo "Does not support hardware other than CPU and GPU Currently!"
+        fi
     done
 }
 
-echo "################### run test cpp inference ###################"
 
-func_infer_cpp
\ No newline at end of file
+if [[ $cpp_infer_type == "cls" ]]; then
+   cd deploy/cpp
+elif [[ $cpp_infer_type == "shitu" ]]; then
+   cd deploy/cpp_shitu
+else
+   echo "Only support cls and shitu"
+   exit 0
+fi
+
+if [[ $cpp_infer_type == "shitu" ]]; then
+    echo "################### update cmake ###################"
+    wget -nc  https://github.com/Kitware/CMake/releases/download/v3.22.0/cmake-3.22.0.tar.gz
+    tar xf cmake-3.22.0.tar.gz
+    cd ./cmake-3.22.0
+    export root_path=$PWD
+    export install_path=${root_path}/cmake
+    eval "./bootstrap --prefix=${install_path}"
+    make -j
+    make install
+    export PATH=${install_path}/bin:$PATH
+    cd ..
+    echo "################### update cmake done ###################"
+
+    echo "################### build faiss ###################"
+    apt-get install -y libopenblas-dev
+    git clone https://github.com/facebookresearch/faiss.git
+    cd faiss
+    export faiss_install_path=$PWD/faiss_install
+    eval "cmake -B build . -DFAISS_ENABLE_PYTHON=OFF  -DCMAKE_INSTALL_PREFIX=${faiss_install_path}"
+    make -C build -j faiss
+    make -C build install
+    cd ..
+fi
+
+echo "################### build PaddleClas demo ####################"
+# pwd = /workspace/hesensen/PaddleClas/deploy/cpp_shitu
+OPENCV_DIR=$(dirname $PWD)/cpp/opencv-3.4.7/opencv3/
+LIB_DIR=$(dirname $PWD)/cpp/paddle_inference/
+
+CUDA_LIB_DIR=$(dirname `find /usr -name libcudart.so`)
+CUDNN_LIB_DIR=$(dirname `find /usr -name libcudnn.so`)
+
+BUILD_DIR=build
+rm -rf ${BUILD_DIR}
+mkdir ${BUILD_DIR}
+cd ${BUILD_DIR}
+if [[ $cpp_infer_type == cls ]]; then
+    cmake .. \
+	-DPADDLE_LIB=${LIB_DIR} \
+	-DWITH_MKL=ON \
+	-DWITH_GPU=ON \
+	-DWITH_STATIC_LIB=OFF \
+	-DWITH_TENSORRT=OFF \
+	-DOPENCV_DIR=${OPENCV_DIR} \
+	-DCUDNN_LIB=${CUDNN_LIB_DIR} \
+	-DCUDA_LIB=${CUDA_LIB_DIR} \
+	-DTENSORRT_DIR=${TENSORRT_DIR}
+else
+    cmake ..\
+	-DPADDLE_LIB=${LIB_DIR} \
+	-DWITH_MKL=ON \
+	-DWITH_GPU=ON \
+	-DWITH_STATIC_LIB=OFF \
+	-DWITH_TENSORRT=OFF \
+	-DOPENCV_DIR=${OPENCV_DIR} \
+	-DCUDNN_LIB=${CUDNN_LIB_DIR} \
+	-DCUDA_LIB=${CUDA_LIB_DIR} \
+	-DTENSORRT_DIR=${TENSORRT_DIR} \
+	-DFAISS_DIR=${faiss_install_path} \
+	-DFAISS_WITH_MKL=OFF
+fi
+make -j
+cd ../../../
+# cd ../../
+echo "################### build PaddleClas demo finished ###################"
+
+
+# set cuda device
+# GPUID=$2
+# if [ ${#GPUID} -le 0 ];then
+#     env="export CUDA_VISIBLE_DEVICES=0"
+# else
+#     env="export CUDA_VISIBLE_DEVICES=${GPUID}"
+# fi
+# set CUDA_VISIBLE_DEVICES
+# eval $env
+
+
+echo "################### run test ###################"
+export Count=0
+IFS="|"
+infer_quant_flag=(${cpp_infer_is_quant})
+for infer_model in ${cpp_infer_model_dir[*]}; do
+    #run inference
+    is_quant=${infer_quant_flag[Count]}
+    if [[ $cpp_infer_type == "cls" ]]; then
+	func_cls_cpp_inference "${inference_cmd}" "${infer_model}" "${LOG_PATH}" "${cpp_image_dir_value}" ${is_quant}
+    else
+	func_shitu_cpp_inference "${inference_cmd}" "${infer_model}" "${LOG_PATH}" "${cpp_image_dir_value}" ${is_quant}
+    fi
+    Count=$(($Count + 1))
+done