tipc: set num workers=12 iff fp16

test_tipc/benchmark_train.sh

@@ -74,7 +74,6 @@ model_type=$4
 IFS=$'\n'
 # parser params from train_benchmark.txt
 sed -i 's/ -o DataLoader.Train.sampler.shuffle=False/ -o Global.print_batch_step=1/g' $FILENAME
-sed -i 's/ -o DataLoader.Train.loader.num_workers=0/ -o DataLoader.Train.loader.num_workers=12/g' $FILENAME
 sed -i 's/-o DataLoader.Train.loader.use_shared_memory=False/ -o Global.eval_during_train=False/g' $FILENAME
 dataline=`cat $FILENAME`
 # parser params
@@ -178,9 +177,13 @@ for batch_size in ${batch_size_list[*]}; do
             func_sed_params "$FILENAME" "${line_batchsize}" "$batch_size"
             func_sed_params "$FILENAME" "${line_epoch}" "$epoch"
             gpu_id=$(set_gpu_id $device_num)
+            
+            sed -i 's/ -o DataLoader.Train.loader.num_workers=0//g' $FILENAME
+            if [[ ${precision} = "fp16" ]];then
+                sed -i 's/ -o Global.print_batch_step=1/ -o Global.print_batch_step=1 -o DataLoader.Train.loader.num_workers=12/g' $FILENAME
+            fi
 
             # if bs is big, then copy train_list.txt to generate more train log
-            # There are 5w image in train_list. And the train log printed interval is 10 iteration.
             # At least 25 log number would be good to calculate ips for benchmark system.
             # So the copy number for train_list is as follows:
             total_batch_size=`echo $[$batch_size*${device_num:1:1}*${device_num:3:3}]`