diff --git a/test_tipc/benchmark_train.sh b/test_tipc/benchmark_train.sh
index 7af562a3941bff754ecfc55224d5b9b5d07bceeb..95893034de7f491f1f7b5819c6a3fcdb04fd3974 100644
--- a/test_tipc/benchmark_train.sh
+++ b/test_tipc/benchmark_train.sh
@@ -2,9 +2,8 @@
 source test_tipc/common_func.sh
 
 # run benchmark sh 
-# params: batch
 # Usage:
-# bash run_benchmark_train.sh config.txt benchmark_train  batch_size=2 precision=3 profile_option=4
+# bash run_benchmark_train.sh config.txt params
 
 function func_parser_params(){
     strs=$1
@@ -43,41 +42,120 @@ function func_sed_params(){
 function set_gpu_id(){
     string=$1
     _str=${string:1:6}
+    IFS="C"
     arr=(${_str})
+    M=${arr[0]}
     P=${arr[1]}
-    gpu_num=`expr $P - 1`
+    gn=`expr $P - 1`
+    gpu_num=`expr $gn / $M`
     seq=`seq -s "," 0 $gpu_num`
     echo $seq
 }
 
-
-FILENAME=$1
-# MODE be one of ['benchmark_train']
-MODE=$2
-
-
-
-
-# 
-# line_bs=9
-# line_presion=6
-# line_profile=13
-
-# if [ $# -eq 4 ] ; then
-#     echo "Usage: bash run_benchmark_train.sh config.txt benchmark_train  batch_size=2  precision=fp16"
-
-# elif [ $# -eq 5 ] ; then
-#     echo "Usage: bash run_benchmark_train.sh config.txt benchmark_train  batch_size=2  precision=fp16  profile_option=None"
-#     profile_options=$(func_parser_params "$5")
-# else
-#     echo "None"
-# fi
-
-
-# l=`grep -n "benchmark_params" ${FILENAME}  | cut -d ":" -f 1`
-# echo $l
+function get_repo_name(){
+    IFS=";"
+    cur_dir=$(pwd)
+    IFS="/"
+    arr=(${cur_dir})
+    echo ${arr[-1]}
+}
 
 
-# sed -i '[第n行]s/[正则通配符]/[替换内容]/' [指定文件] 
+# FILENAME=$1
+# # MODE be one of ['benchmark_train']
+# MODE=$2
+# params=$3
+IFS="\n"
+
+FILENAME="test_tipc/configs/det_mv3_db_v2.0/train_benchmark.txt"
+MODE="benchmark_train"
+params="dynamic_bs8_fp32_SingleP_DP_N1C4"
+
+# parser params from input: modeltype_bs${bs_item}_${fp_item}_${run_process_type}_${run_mode}_${device_num}
+IFS="_"
+params_list=(${params})
+model_type=${params_list[0]}
+batch_size=${params_list[1]}
+batch_size=`echo  ${batch_size} | tr -cd "[0-9]" `
+precision=${params_list[2]}
+run_process_type=${params_list[3]}
+run_mode=${params_list[4]}
+device_num=${params_list[5]}
+device_num_copy=$device_num
+IFS=";"
+
+echo $precision
+# sed batchsize and precision
+func_sed_params "$FILENAME" "6" "$precision"
+func_sed_params "$FILENAME" "9" "$batch_size"
+
+# parser params from train_benchmark.txt
+dataline=`cat $FILENAME`
+# parser params
+IFS=$'\n'
+lines=(${dataline})
+model_name=$(func_parser_value "${lines[1]}")
+
+# 获取benchmark_params所在的行数
+line_num=`grep -n "benchmark_params" $FILENAME  | cut -d ":" -f 1`
+echo $line_num # debug
+echo ${lines[$line_num]} # debug
+# for train log parser
+line_num=`expr $line_num + 3`
+ips_unit_value=$(func_parser_value "${lines[line_num]}")
+
+line_num=`expr $line_num + 1`
+skip_steps_value=$(func_parser_value "${lines[line_num]}")
+
+echo $skip_steps_value "haha"
+
+line_num=`expr $line_num + 1`
+keyword_value=$(func_parser_value "${lines[line_num]}")
+
+line_num=`expr $line_num + 1`
+convergence_key_value=$(func_parser_value "${lines[line_num]}")
+
+line_num=`expr $line_num + 1`
+flags_value=$(func_parser_value "${lines[line_num]}")
+
+# echo "device_num: $device_num"
+# gpu_id=$(set_gpu_id "N4C32")
+# echo "gpuid: $gpu_id"
+
+gpu_id=$(set_gpu_id $device_num)
+echo "gpu_id: $gpu_id"
+repo_name=$(get_repo_name )
+echo "repo_name: ${repo_name}"
+
+# train_log_file=${run_log_path}/${model_repo}_${model_name}_${device_num}_log
+# profiling_log_file=${profiling_log_path}/${model_repo}_${model_name}_${device_num}_profiling
+SAVE_LOG="benchmark_log"
+
+if [ ${#gpu_id} -le 1 ];then
+    echo "single_gpu train"
+    log_path="$SAVE_LOG/profiling_log"
+    mkdir -p $log_path
+    log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_process_type}_${run_mode}_${device_num}_profiling"
+    echo $log_name
+    func_sed_params "$FILENAME" "4" "0"  # sed used gpu_id 
+    cmd="bash test_tipc/test_train_inference_python.sh benchmark_train > ${log_path}/${log_name} 2>&1 "
+    echo $cmd
+    # without profile
+    log_path="$SAVE_LOG/train_log"
+    mkdir -p $log_path
+    log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_process_type}_${run_mode}_${device_num}_log"
+    func_sed_params "$FILENAME" "13" "null"  # sed used gpu_id 
+    cmd="bash test_tipc/test_train_inference_python.sh benchmark_train > ${log_path}/${log_name} 2>&1 "
+    echo $cmd
+else
+    echo "multi_gpu training"
+    log_path="$SAVE_LOG/train_log"
+    mkdir -p $log_path
+    log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_process_type}_${run_mode}_${device_num}_log"
+    func_sed_params "$FILENAME" "4" "$gpu_id"  # sed used gpu_id 
+    func_sed_params "$FILENAME" "13" "$null"  # sed --profile_option as null
+    cmd="bash test_tipc/test_train_inference_python.sh benchmark_train > ${log_path}/${log_name} 2>&1 "
+    echo $cmd
+fi