!8031 [MSLITE]add effcinent smoke

Merge pull request !8031 from ghzl/keams-and-efficicnet

mindspore/lite/test/models_mindspore_weightquant.cfg

@@ -1,3 +1,3 @@
 retinaface.mindir
 mobilefacenet.mindir
-#efficientnet.mindir
+efficientnet.mindir

mindspore/lite/test/run_benchmark_nets.sh

@@ -789,6 +789,24 @@ function Run_arm64() {
             run_result='arm64: '${model_name}'_train failed'; echo ${run_result} >> ${run_benchmark_result_file}; return 1
         fi
     done < ${models_mindspore_train_config}
+
+    # Run mindir weightquant converted train models:
+    while read line; do
+        model_name=${line}
+        if [[ $model_name == \#* ]]; then
+          continue
+        fi
+        echo ${model_name}'_train' >> "${run_arm64_log_file}"
+        echo 'cd /data/local/tmp/benchmark_test' > adb_run_cmd.txt
+        echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'_weightquant.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'.ms.bin --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'.weightquant.ms.out --loopCount=1' >> "${run_arm64_log_file}"
+        echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'_weightquant.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'.ms.bin --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'.weightquant.ms.out --loopCount=1' >> adb_run_cmd.txt
+        adb -s ${device_id} shell < adb_run_cmd.txt >> "${run_arm64_log_file}"
+        if [ $? = 0 ]; then
+            run_result='arm64: '${model_name}'_train pass'; echo ${run_result} >> ${run_benchmark_result_file}
+        else
+            run_result='arm64: '${model_name}'_train failed'; echo ${run_result} >> ${run_benchmark_result_file}; return 1
+        fi
+    done < ${models_mindspore_weightquant_config}
 }
 
 # Run on arm32 platform: