add onnx tipc for ResNet50_vd

test_tipc/config/ResNet/ResNet50_vd_linux_gpu_normal_normal_paddle2onnx_python_linux_cpu.txt

+===========================paddle2onnx_params===========================
+model_name:ResNet50_vd
+python:python3.7
+2onnx: paddle2onnx
+--model_dir:./deploy/models/ResNet50_vd_infer/
+--model_filename:inference.pdmodel
+--params_filename:inference.pdiparams
+--save_file:./deploy/models/ResNet50_vd_infer/inference.onnx
+--opset_version:10
+--enable_onnx_checker:True
+inference: python/predict_cls.py  -c configs/inference_cls.yaml
+Global.use_onnx:True
+Global.inference_model_dir:models/ResNet50_vd_infer/
+Global.use_gpu:False
+Global.infer_imgs:./images/ILSVRC2012_val_00000010.jpeg

test_tipc/prepare.sh

@@ -165,3 +165,15 @@ if [ ${MODE} = "serving_infer" ];then
     cd ./deploy/paddleserving
     wget -nc https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/ResNet50_vd_infer.tar && tar xf ResNet50_vd_infer.tar
 fi
+
+if [ ${MODE} = "paddle2onnx_infer" ];then
+    # prepare paddle2onnx env
+    python_name=$(func_parser_value "${lines[2]}")
+    ${python_name} -m pip install install paddle2onnx
+    ${python_name} -m pip install onnxruntime
+
+    # wget model
+    cd deploy && mkdir models && cd models
+    wget -nc https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/ResNet50_vd_infer.tar  && tar xf ResNet50_vd_infer.tar
+    cd ../../
+fi

test_tipc/test_paddle2onnx.sh

@@ -11,7 +11,7 @@ python=$(func_parser_value "${lines[2]}")
 
 
 # parser params
-dataline=$(awk 'NR==1, NR==12{print}'  $FILENAME)
+dataline=$(awk 'NR==1, NR==15{print}'  $FILENAME)
 IFS=$'\n'
 lines=(${dataline})
 
@@ -33,12 +33,14 @@ enable_onnx_checker_key=$(func_parser_key "${lines[9]}")
 enable_onnx_checker_value=$(func_parser_value "${lines[9]}")
 # parser onnx inference 
 inference_py=$(func_parser_value "${lines[10]}")
-use_gpu_key=$(func_parser_key "${lines[11]}")
-use_gpu_value=$(func_parser_value "${lines[11]}")
-det_model_key=$(func_parser_key "${lines[12]}")
-image_dir_key=$(func_parser_key "${lines[13]}")
-image_dir_value=$(func_parser_value "${lines[13]}")
-
+use_onnx_key=$(func_parser_key "${lines[11]}")
+use_onnx_value=$(func_parser_value "${lines[11]}")
+inference_model_dir_key=$(func_parser_key "${lines[12]}")
+inference_model_dir_value=$(func_parser_value "${lines[12]}")
+inference_hardware_key=$(func_parser_key "${lines[13]}")
+inference_hardware_value=$(func_parser_value "${lines[13]}")
+inference_imgs_key=$(func_parser_key "${lines[14]}")
+inference_imgs_value=$(func_parser_value "${lines[14]}")
 
 LOG_PATH="./test_tipc/output"
 mkdir -p ./test_tipc/output
@@ -50,7 +52,7 @@ function func_paddle2onnx(){
     _script=$1
 
     # paddle2onnx
-    _save_log_path="${LOG_PATH}/paddle2onnx_infer_cpu.log"
+    _save_log_path=".${LOG_PATH}/paddle2onnx_infer_cpu.log"
     set_dirname=$(func_set_params "${infer_model_dir_key}" "${infer_model_dir_value}")
     set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
     set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
@@ -62,10 +64,11 @@ function func_paddle2onnx(){
     last_status=${PIPESTATUS[0]}
     status_check $last_status "${trans_model_cmd}" "${status_log}"
     # python inference
-    set_gpu=$(func_set_params "${use_gpu_key}" "${use_gpu_value}")
-    set_model_dir=$(func_set_params "${det_model_key}" "${save_file_value}")
-    set_img_dir=$(func_set_params "${image_dir_key}" "${image_dir_value}")
-    infer_model_cmd="${python} ${inference_py} ${set_gpu} ${set_img_dir} ${set_model_dir} --use_onnx=True > ${_save_log_path} 2>&1 "
+    set_model_dir=$(func_set_params "${inference_model_dir_key}" "${inference_model_dir_value}")
+    set_use_onnx=$(func_set_params "${use_onnx_key}" "${use_onnx_value}")
+    set_hardware=$(func_set_params "${inference_hardware_key}" "${inference_hardware_value}")
+    set_infer_imgs=$(func_set_params "${inference_imgs_key}" "${inference_imgs_value}")
+    infer_model_cmd="cd deploy && ${python} ${inference_py} -o ${set_model_dir} -o ${set_use_onnx} -o ${set_hardware} -o ${set_infer_imgs} >${_save_log_path} 2>&1 && cd ../"
     eval $infer_model_cmd
     status_check $last_status "${infer_model_cmd}" "${status_log}"
 }