refine wide and deep model zoo log file

model_zoo/official/recommend/wide_and_deep/script/run_parameter_server_train_cluster.sh

@@ -70,9 +70,9 @@ if [[ "$MS_ROLE" == "MS_WORKER" ]]; then
     rm -rf ${execute_path}/worker/
     mkdir ${execute_path}/worker/
     cd ${execute_path}/worker/ || exit
-    mpirun --allow-run-as-root -n $LOCAL_WORKER_NUM \
-      python -s ${self_path}/../train_and_eval_parameter_server_distribute.py                    \
-        --device_target=$DEVICE --data_path=$DATASET --epochs=$EPOCH_SIZE --parameter_server=1   \
+    mpirun --allow-run-as-root -n $LOCAL_WORKER_NUM --output-filename log_output --merge-stderr-to-stdout \
+      python -s ${self_path}/../train_and_eval_parameter_server_distribute.py                             \
+        --device_target=$DEVICE --data_path=$DATASET --epochs=$EPOCH_SIZE --parameter_server=1            \
         --vocab_cache_size=$VOCAB_CACHE_SIZE --dropout_flag=1 >worker.log 2>&1 &
   else
     for((i=0;i<$LOCAL_WORKER_NUM;i++));

model_zoo/official/recommend/wide_and_deep/script/run_parameter_server_train_distribute.sh

@@ -62,7 +62,7 @@ if [[ "X$DEVICE_TARGET" == "XGPU" ]]; then
   rm -rf ${execute_path}/worker/
   mkdir ${execute_path}/worker/
   cd ${execute_path}/worker/ || exit
-  mpirun --allow-run-as-root -n $RANK_SIZE \
+  mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout      \
     python -s ${self_path}/../train_and_eval_parameter_server_distribute.py                           \
       --device_target=$DEVICE_TARGET --data_path=$DATASET --epochs=$EPOCH_SIZE --parameter_server=1   \
       --vocab_cache_size=$VOCAB_CACHE_SIZE --dropout_flag=1 >worker.log 2>&1 &