diff --git a/test_tipc/configs/ch_ppocr_mobile_v2_0_det/train_infer_python.txt b/test_tipc/configs/ch_ppocr_mobile_v2_0_det/train_infer_python.txt
index f3aa9d0f8218a24b11e3d0d079ae79a07d3e5874..4112e6498c6316e211ad69a69bdb531ec7a105b2 100644
--- a/test_tipc/configs/ch_ppocr_mobile_v2_0_det/train_infer_python.txt
+++ b/test_tipc/configs/ch_ppocr_mobile_v2_0_det/train_infer_python.txt
@@ -13,7 +13,7 @@ train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
 null:null
 ##
 trainer:norm_train
-norm_train:tools/train.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained Global.print_batch_step=1 Train.loader.shuffle=false
+norm_train:tools/train.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained Global.print_batch_step=2 Train.loader.shuffle=false
 pact_train:null
 fpgm_train:null
 distill_train:null
diff --git a/test_tipc/prepare.sh b/test_tipc/prepare.sh
index 1c0e16044c4264d14a93e2e0470ea95e7d5d4ba6..388dad0daa520f14c217bac469f64d7a1b6ee793 100644
--- a/test_tipc/prepare.sh
+++ b/test_tipc/prepare.sh
@@ -25,7 +25,6 @@ if [ ${MODE} = "benchmark_train" ];then
     array=(${python_name_list}) 
     python_name=${array[0]}
     ${python_name} -m pip install -r requirements.txt
-    ${python_name} -m pip install git+https://github.com/LDOUBLEV/AutoLog
     if [[ ${model_name} =~ "ch_ppocr_mobile_v2_0_det" || ${model_name} =~ "det_mv3_db_v2_0" ]];then
         wget -nc -P  ./pretrain_models/ https://paddleocr.bj.bcebos.com/pretrained/MobileNetV3_large_x0_5_pretrained.pdparams  --no-check-certificate
         rm -rf ./train_data/icdar2015
@@ -33,6 +32,13 @@ if [ ${MODE} = "benchmark_train" ];then
         cd ./train_data/ && tar xf icdar2015_benckmark.tar
         ln -s ./icdar2015_benckmark ./icdar2015
         cd ../
+        if [[ ${model_name} =~ "ch_ppocr_mobile_v2_0_det" ]];then
+            # expand gt.txt 2 times
+            cd ./train_data/icdar2015/text_localization
+            for i in `seq 2`;do cp train_icdar2015_label.txt dup$i.txt;done
+            cat dup* > train_icdar2015_label.txt && rm -rf dup*
+            cd ../../../
+        fi
     fi
     if [[ ${model_name} =~ "ch_ppocr_server_v2_0_det" || ${model_name} =~ "ch_PP-OCRv3_det" ]];then
         rm -rf ./train_data/icdar2015
@@ -101,6 +107,13 @@ if [ ${MODE} = "benchmark_train" ];then
         ln -s ./pubtabnet_benckmark ./pubtabnet
         cd ../
     fi
+    if [[ ${model_name} == "slanet" ]];then
+        rm -rf ./train_data/pubtabnet
+        wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dataset/pubtabnet_benckmark.tar --no-check-certificate
+        cd ./train_data/ && tar xf pubtabnet_benckmark.tar
+        ln -s ./pubtabnet_benckmark ./pubtabnet
+        cd ../
+    fi
     if [[ ${model_name} == "det_r50_dcn_fce_ctw_v2_0" ]]; then
         wget -nc -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/contribution/det_r50_dcn_fce_ctw_v2.0_train.tar --no-check-certificate
         cd ./pretrain_models/ && tar xf det_r50_dcn_fce_ctw_v2.0_train.tar && cd ../
@@ -704,8 +717,7 @@ fi
 if [ ${MODE} = "paddle2onnx_infer" ];then
     # prepare serving env
     python_name=$(func_parser_value "${lines[2]}")
-    ${python_name} -m pip install paddle2onnx
-    ${python_name} -m pip install onnxruntime
+    ${python_name} -m pip install paddle2onnx onnxruntime onnx
     # wget model
     if [[ ${model_name} =~ "ch_ppocr_mobile_v2_0" ]]; then
         wget -nc  -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar --no-check-certificate