add post quant st

mindspore/lite/test/run_benchmark_nets.sh

@@ -65,6 +65,27 @@ function Run_x86() {
         fi
     done < ${models_onnx_config}
 
+    # Run tflite post training quantization converted models:
+    while read line; do
+        model_name=${line}
+        if [[ $model_name == \#* ]]; then
+          continue
+        fi
+        echo ${model_name}
+        echo 'cd  '${convertor_path}'/MSLite-*-linux_x86_64'
+        cd ${convertor_path}/MSLite-*-linux_x86_64 || return 1
+        echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'_posttraining.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/quantTraining/mnist_calibration_data/00099.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'_posttraining.ms.out --warmUpLoopCount=1 --loopCount=1' || return 1
+        export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}_posttraining.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/quantTraining/mnist_calibration_data/00099.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}_posttraining.ms.out --warmUpLoopCount=1 --loopCount=1
+        if [ $? = 0 ]; then
+            run_result='Run_x86: '${model_name}'_posttraining pass'
+            echo ${run_result} >> ${run_benchmark_result_file}
+        else
+            run_result='Run_x86: '${model_name}'_posttraining fail <<===========================this is the failed case'
+            echo ${run_result} >> ${run_benchmark_result_file}
+            return 1
+        fi
+    done < ${models_tflite_posttraining_config}
+
     # Run mindspore converted models:
     while read line; do
         model_name=${line}
@@ -257,8 +278,7 @@ while read line; do
     fi
     echo ${model_name}
     echo './converter_lite  --fmk=TFLITE --modelFile='${models_path}'/'${model_name}' --outputFile='${ms_models_path}'/'${model_name}_posttraining' --quantType=PostTraining --config_file='${models_path}'/'${model_name}'_posttraining.config'
-    ###core dump 0815,after bugfix ,then add this convert:
-    ###./converter_lite  --fmk=TFLITE --modelFile=$models_path/${model_name} --outputFile=${ms_models_path}/${model_name}_posttraining --quantType=PostTraining --config_file=${models_path}/${model_name}_posttraining.config || exit 1
+    ./converter_lite  --fmk=TFLITE --modelFile=$models_path/${model_name} --outputFile=${ms_models_path}/${model_name}_posttraining --quantType=PostTraining --config_file=${models_path}/${model_name}_posttraining.config || exit 1
 done < ${models_tflite_posttraining_config}
 
 # Push to the arm and run benchmark: