diff --git a/test_tipc/benchmark_train.sh b/test_tipc/benchmark_train.sh
index f178c4d184dbf68e8e50c217a50f51cc14adc489..3e41ad9a7158e7e2b33a6d213848f925f3fda3b9 100644
--- a/test_tipc/benchmark_train.sh
+++ b/test_tipc/benchmark_train.sh
@@ -88,7 +88,7 @@ lines=(${dataline})
 model_name=$(func_parser_value "${lines[1]}")
 
 # 获取benchmark_params所在的行数
-line_num=`grep -n "train_benchmark_params" $FILENAME  | cut -d ":" -f 1`
+line_num=`grep -n -w "train_benchmark_params" $FILENAME  | cut -d ":" -f 1`
 # for train log parser
 batch_size=$(func_parser_value "${lines[line_num]}")
 line_num=`expr $line_num + 1`
@@ -144,6 +144,14 @@ if  [ ! -n "$PARAMS" ] ;then
     device_num="N1C4"
     device_num_list=($device_num)
     run_mode="DP"
+elif [[ ${PARAMS} = "dynamicTostatic" ]] ;then
+    IFS="|"
+    model_type=$PARAMS
+    batch_size_list=(${batch_size})
+    fp_items_list=(${fp_items})
+    device_num="N1C4"
+    device_num_list=($device_num)
+    run_mode="DP"
 else
     # parser params from input: modeltype_bs${bs_item}_${fp_item}_${run_mode}_${device_num}
     IFS="_"
diff --git a/test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_train_infer_python.txt b/test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_train_infer_python.txt
index 22c0357022fa27f79c97c3993322a1193c5f4ef5..7c0b3aa5b8e6dc34f4980fd9bea8d3b59ef82bf6 100644
--- a/test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_train_infer_python.txt
+++ b/test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_train_infer_python.txt
@@ -17,7 +17,7 @@ norm_train:tools/train.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml -o wo
 pact_train:tools/train.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml --slim_config configs/slim/quant/yolov3_darknet_qat.yml -o
 fpgm_train:tools/train.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml --slim_config configs/slim/prune/yolov3_darknet_prune_fpgm.yml -o
 distill_train:null
-to_static_train:--to_static
+null:null
 null:null
 ##
 ===========================eval_params===========================
@@ -57,4 +57,6 @@ repeat:3
 --profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
 flags:null
 ===========================infer_benchmark_params===========================
-numpy_infer_input:3x608x608.npy
\ No newline at end of file
+numpy_infer_input:3x608x608.npy
+===========================to_static_train_benchmark_params===========================
+to_static_train:--to_static
\ No newline at end of file
diff --git a/test_tipc/test_train_inference_python.sh b/test_tipc/test_train_inference_python.sh
index e56d726ce22ba0f91734d27f3b55c983934dc47d..d5c09ccf09d56a5320abab9611311d930d9b3318 100644
--- a/test_tipc/test_train_inference_python.sh
+++ b/test_tipc/test_train_inference_python.sh
@@ -41,8 +41,8 @@ fpgm_key=$(func_parser_key "${lines[17]}")
 fpgm_trainer=$(func_parser_value "${lines[17]}")
 distill_key=$(func_parser_key "${lines[18]}")
 distill_trainer=$(func_parser_value "${lines[18]}")
-to_static_key=$(func_parser_key "${lines[19]}")
-to_static_trainer=$(func_parser_value "${lines[19]}")
+trainer_key1=$(func_parser_key "${lines[19]}")
+trainer_value1=$(func_parser_value "${lines[19]}")
 trainer_key2=$(func_parser_key "${lines[20]}")
 trainer_value2=$(func_parser_value "${lines[20]}")
 
@@ -96,6 +96,9 @@ LOG_PATH="./test_tipc/output/${model_name}/${MODE}"
 mkdir -p ${LOG_PATH}
 status_log="${LOG_PATH}/results_python.log"
 
+line_num=`grep -n -w "to_static_train_benchmark_params" $FILENAME  | cut -d ":" -f 1`
+to_static_key=$(func_parser_key "${lines[line_num]}")
+to_static_trainer=$(func_parser_value "${lines[line_num]}")
 
 function func_inference(){
     IFS='|'
@@ -251,13 +254,16 @@ else
                 elif [ ${trainer} = "${distill_key}" ]; then
                     run_train=${distill_trainer}
                     run_export=${distill_export}
+                elif [ ${trainer} = "${trainer_key1}" ]; then
+                    run_train=${trainer_value1}
+                    run_export=${export_value1}
+                elif [ ${trainer} = "${trainer_key2}" ]; then
+                    run_train=${trainer_value2}
+                    run_export=${export_value2}
                 elif [ ${trainer} = "${to_static_key}" ]; then
                     run_train=${norm_trainer}
                     run_export=${norm_export}
                     set_to_static=${to_static_trainer}
-                elif [ ${trainer} = "${trainer_key2}" ]; then
-                    run_train=${trainer_value2}
-                    run_export=${export_value2}
                 else
                     continue
                 fi