add statuscheck and follow the tipc_standard

test_tipc/test_train_dy2static_python.sh

@@ -20,16 +20,19 @@ model_name=$(func_parser_value "${lines[1]}")
 LOG_PATH="./test_tipc/output/${model_name}/${MODE}"
 rm -rf $LOG_PATH
 mkdir -p ${LOG_PATH}
+status_log="${LOG_PATH}/results_python.log"
 
 # start dygraph train
-dygraph_output=$LOG_PATH/dygraph_output.txt
+dygraph_output=$LOG_PATH/python_train_infer_dygraph_output.txt
+dygraph_loss=$LOG_PATH/dygraph_loss.txt
 sed -i '15ctrainer:norm_train' ${FILENAME}
 cmd="bash test_tipc/test_train_inference_python.sh ${FILENAME} $MODE >$dygraph_output 2>&1"
 echo $cmd
 eval $cmd
 
 # start dy2static train
-dy2static_output=$LOG_PATH/dy2static_output.txt
+dy2static_output=$LOG_PATH/python_train_infer_dy2static_output.txt
+dy2static_loss=$LOG_PATH/dy2static_loss.txt
 sed -i '15ctrainer:to_static_train' ${FILENAME}
 cmd="bash test_tipc/test_train_inference_python.sh ${FILENAME} $MODE >$dy2static_output 2>&1"
 echo $cmd
@@ -37,21 +40,17 @@ eval $cmd
 
 # analysis and compare the losses. 
 dyout=`cat $dy2static_output | python3 test_tipc/extract_loss.py -v 'Iter:' -e 'loss: {%f},'`
-stout=`cat $dygraph_output | python3 test_tipc/extract_loss.py -v 'Iter:' -e 'loss: {%f},'  `
-echo $dyout
-echo $stout
+stout=`cat $dygraph_output   | python3 test_tipc/extract_loss.py -v 'Iter:' -e 'loss: {%f},'  `
+echo $dyout > $dygraph_loss
+echo $stout > $dy2static_loss
+diff_log=$LOG_PATH/diff_log.txt
+diff_cmd="diff -w $dygraph_loss $dy2static_loss | tee $diff_log"
+eval $diff_cmd
+last_status=$?
 if [ "$dyout" = "" ]; then
-    echo "Failed to run model."
-    exit -1
+    status_check 2 $diff_cmd $status_log $model_name $diff_log
 fi
-if [ "$dyout" = "$stout" ]; then 
-    echo "Successful Run Dy2static."
-    exit 0
-else
-    echo "Loss is not equal."
-    echo "Dygraph Loss is: " 
-    echo $dyout
-    echo "Dy2Static Loss is: "
-    echo $stout
-    exit -1
+if [ "$stout" = "" ]; then
+    status_check 2 $diff_cmd $status_log $model_name $diff_log
 fi
+status_check $last_status $diff_cmd $status_log $model_name $diff_log