diff --git a/mindspore/lite/src/delegate/tensorrt/op/allgather_tensorrt.cc b/mindspore/lite/src/delegate/tensorrt/op/allgather_tensorrt.cc
index cb14bb9f43a..0b2ed7b0380 100644
--- a/mindspore/lite/src/delegate/tensorrt/op/allgather_tensorrt.cc
+++ b/mindspore/lite/src/delegate/tensorrt/op/allgather_tensorrt.cc
@@ -57,8 +57,8 @@ int AllGatherTensorRT::AddInnerOp(nvinfer1::INetworkDefinition *network) {
     return RET_ERROR;
   }
   int rank = GetGPUGroupSize();
-
   auto plugin = std::make_shared<AllGatherPlugin>(op_name_, rank);
+  MS_LOG(INFO) << op_name_ << " group size: " << rank << ", rank id: " << GetRankID();
   nvinfer1::IPluginV2Layer *allgather_layer = network->addPluginV2(inputTensors, 1, *plugin);
   if (allgather_layer == nullptr) {
     MS_LOG(ERROR) << "create AllGather layer failed for: " << op_name_;
diff --git a/mindspore/lite/src/delegate/tensorrt/op/reducescatter_tensorrt.cc b/mindspore/lite/src/delegate/tensorrt/op/reducescatter_tensorrt.cc
index 9148ce8c0f6..4a9f5b51b7f 100644
--- a/mindspore/lite/src/delegate/tensorrt/op/reducescatter_tensorrt.cc
+++ b/mindspore/lite/src/delegate/tensorrt/op/reducescatter_tensorrt.cc
@@ -59,10 +59,9 @@ int ReduceScatterTensorRT::AddInnerOp(nvinfer1::INetworkDefinition *network) {
     return RET_ERROR;
   }
   auto reduce_mode = reduce_op->mode();
-
   auto rank = GetGPUGroupSize();
-
   auto plugin = std::make_shared<ReduceScatterPlugin>(op_name_, reduce_mode, rank);
+  MS_LOG(INFO) << op_name_ << " group size: " << rank << ", rank id: " << GetRankID();
   nvinfer1::IPluginV2Layer *reduce_scatter_layer = network->addPluginV2(inputTensors, 1, *plugin);
   if (reduce_scatter_layer == nullptr) {
     MS_LOG(ERROR) << "create ReduceScatter layer failed for: " << op_name_;
diff --git a/mindspore/lite/test/config/models_tensorrt.cfg b/mindspore/lite/test/config/models_tensorrt.cfg
index 417d9dbc169..a4c655bc69f 100644
--- a/mindspore/lite/test/config/models_tensorrt.cfg
+++ b/mindspore/lite/test/config/models_tensorrt.cfg
@@ -1,10 +1,30 @@
 # model_info                                   accuracy_limit
-# model_name;input_info;input_shapes;mode      accuracy_limit/CONVERTER
+# model_name;input_num:input_name;input_shapes;spec_threads;mode      accuracy_limit/CONVERTER
 
 # Run in one cuda server
 gender_resnet34_lzl.onnx
+gender_lstm_vad.onnx;1:input.1;1,198,64;;offline_resize
+gender_lstm_scd.onnx;1:input.1;1,198,64;;offline_resize
 ml_video_edit_person_divison_pic
 ml_video_edit_person_divison_video;2
+ml_audio_kit_vocals_unet_spectrum.onnx
+ml_video_edit_vignet.onnx
+ml_video_edit_reid
+ml_video_edit_judge.onnx
+ml_video_edit_imitate_filter.onnx
+ml_video_edit_hair_dyeing_segmodel_20211119
+ml_video_edit_detect_20211111
+detect_curve2.pb
+detect_straight.pb;1:input;1,19200,960,3;;offline_resize
+direction.pb;1:input;1,2048,2048,1;;offline_resize
+languageClassify.pb;1:input_0;2,32,512,1;;offline_resize
+languageClassify_latin.pb;1:data;2,48,1,50;;offline_resize
+recognize_chineseEnglish.pb;1:input_0;1,2048,2048,1;;offline_resize
+recognize_chineseEnglish_vertical.pb;1:input_0;1,2048,2048,1;;offline_resize
+recognize_JapaneseKorean.pb;1:input_0;1,2048,2048,1;;offline_resize
+recognize_latin.pb;1:input_0;1,2048,2048,1;;offline_resize
+textremoval_v5_nofill.pb;3:input_images,input_masks,ones_image;1,1024,1024,3:1,1024,1024,1:1,1024,1024,1;;offline_resize
+
 # Run in distribution server
 wide_and_deep_.mindir CONVERTER
 wide_and_deep_1.mindir CONVERTER
diff --git a/mindspore/lite/test/st/scripts/base_functions.sh b/mindspore/lite/test/st/scripts/base_functions.sh
index b8ccd95d803..14babfc5ee0 100644
--- a/mindspore/lite/test/st/scripts/base_functions.sh
+++ b/mindspore/lite/test/st/scripts/base_functions.sh
@@ -74,8 +74,8 @@ function Convert() {
         if [[ ${input_num} == "" ]]; then
           input_num=1
         fi
-        LFS="," read -r -a name_array <<< ${input_names}
-        LFS=":" read -r -a shape_array <<< ${input_shapes}
+        IFS="," read -r -a name_array <<< ${input_names}
+        IFS=":" read -r -a shape_array <<< ${input_shapes}
         for i in $(seq 0 $((${input_num}-1)))
         do
           spec_shapes=${spec_shapes}${name_array[$i]}':'${shape_array[$i]}';'
diff --git a/mindspore/lite/test/st/scripts/tensorrt/run_benchmark_tensorrt.sh b/mindspore/lite/test/st/scripts/tensorrt/run_benchmark_tensorrt.sh
index 3a59b456c0b..ea57a1394a6 100644
--- a/mindspore/lite/test/st/scripts/tensorrt/run_benchmark_tensorrt.sh
+++ b/mindspore/lite/test/st/scripts/tensorrt/run_benchmark_tensorrt.sh
@@ -64,7 +64,7 @@ function Run_TensorRT() {
     source /etc/profile
     local line_info model_info spec_acc_limit model_name input_num input_shapes \
             mode model_file input_files output_file data_path acc_limit enableFp16 \
-            run_result
+            run_result config_file_path
 
     while read line; do
         line_info=${line}
@@ -80,7 +80,7 @@ function Run_TensorRT() {
         model_name=`echo ${model_info} | awk -F ';' '{print $1}'`
         input_info=`echo ${model_info} | awk -F ';' '{print $2}'`
         input_shapes=`echo ${model_info} | awk -F ';' '{print $3}'`
-        mode=`echo ${model_info} | awk -F ';' '{print $3}'`
+        mode=`echo ${model_info} | awk -F ';' '{print $5}'`
         input_num=`echo ${input_info} | sed 's/:/;/' | awk -F ';' '{print $1}'`
         if [[ ${model_name##*.} == "caffemodel" ]]; then
             model_name=${model_name%.*}
@@ -106,6 +106,7 @@ function Run_TensorRT() {
             done
         fi
         output_file=${data_path}'output/'${model_name}'.ms.out'
+        config_file_path=${data_path}'input/'${model_name}'.config'
 
         # set accuracy limitation
         acc_limit="0.5"
@@ -119,10 +120,14 @@ function Run_TensorRT() {
         if [[ ${mode} == "fp16" ]]; then
             enableFp16="true"
         fi
+        if [[ ${mode} == "offline_resize" ]]; then
+            input_shapes=""
+        fi
 
         # different tensorrt run mode use different cuda command
-        echo 'CUDA_VISILE_DEVICE='${cuda_device_id}' ./benchmark --modelFile='${model_file}' --inputShapes='${input_shapes}' --inDataFile='${input_files}' --benchmarkDataFile='${output_file}' --enableFp16='${enableFp16}' --accuracyThreshold='${acc_limit}' --device=GPU' >> "${run_tensorrt_log_file}"
-        CUDA_VISILE_DEVICE=${cuda_device_id} ./benchmark --modelFile=${model_file} --inputShapes=${input_shapes} --inDataFile=${input_files} --benchmarkDataFile=${output_file} --enableFp16=${enableFp16} --accuracyThreshold=${acc_limit} --device=GPU >> ${run_tensorrt_log_file}
+        echo 'CUDA_VISILE_DEVICE='${cuda_device_id}' ./benchmark --modelFile='${model_file}' --inputShapes='${input_shapes}' --inDataFile='${input_files}' --benchmarkDataFile='${output_file}' --enableFp16='${enableFp16}' --accuracyThreshold='${acc_limit}' --configFile='${config_file_path}' --device=GPU' >> "${run_tensorrt_log_file}"
+        CUDA_VISILE_DEVICE=${cuda_device_id} ./benchmark --modelFile=${model_file} --inputShapes=${input_shapes} --inDataFile=${input_files} --benchmarkDataFile=${output_file} --enableFp16=${enableFp16} --accuracyThreshold=${acc_limit} --configFile=${config_file_path} --device=GPU >> ${run_tensorrt_log_file}
+        CUDA_VISILE_DEVICE=${cuda_device_id} ./benchmark --modelFile=${model_file} --inputShapes=${input_shapes} --inDataFile=${input_files} --benchmarkDataFile=${output_file} --enableFp16=${enableFp16} --accuracyThreshold=${acc_limit} --configFile=${config_file_path} --device=GPU >> ${run_tensorrt_log_file}
 
         if [ $? = 0 ]; then
             run_result='TensorRT: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file}
@@ -207,6 +212,7 @@ run_tensorrt_mpirun_log_file=${basepath}/run_tensorrt_mpirun_log.txt
 echo 'run tensorrt mpirun logs: ' > ${run_tensorrt_mpirun_log_file}
 
 echo "Running in tensorrt with mpirun"
+export GLOG_v=1
 Run_TensorRT_Mpirun &
 Run_TensorRT_Mpirun_PID=$!
 sleep 1