rm env setting

examples/erniesage/job.sh

@@ -37,18 +37,8 @@ fi
 
 export FLAGS_communicator_recv_wait_times=5000000
 
-export PATH=/opt/compiler/gcc-4.8.2/bin:$PATH
-PYTHONPATH=`which python`
-PYTHONPATH=`dirname $PYTHONPATH`
-PYTHONPATH=`readlink -f $PYTHONPATH/../`
-export PATH=$PYTHONPATH/bin/:$PATH
-
-which python
-
 mkdir -p output
-echo "PADDLE_PSERVERS" $PADDLE_PSERVERS
 
-echo $CPU_NUM
 python ./train.py --conf $config
 if [[ $TRAINING_ROLE == "TRAINER" ]];then
     python ./infer.py --conf $config

examples/erniesage/local_run.sh

@@ -27,7 +27,6 @@ transpiler_local_train(){
     export PADDLE_PORT=6206
     export PADDLE_PSERVERS="127.0.0.1"
     export BASE="./local_dir"
-    export PATH=./python27-gcc482/bin/:$PATH
     echo `which python`
     if [ -d ${BASE} ]; then
         rm -rf ${BASE}
@@ -60,8 +59,8 @@ collective_local_train(){
 eval $(parse_yaml $config)
 unalias python
 
-#python3 ./preprocessing/dump_graph.py -i $input_data -o $graph_path --encoding $encoding \
-    #-l $max_seqlen --vocab_file $ernie_vocab_file
+python3 ./preprocessing/dump_graph.py -i $input_data -o $graph_path --encoding $encoding \
+    -l $max_seqlen --vocab_file $ernie_vocab_file
 
 if [[ $learner_type == "cpu" ]];then
     transpiler_local_train