boxing v2 and new dataloader

of_e2e.sh

 rm -rf core.* 
 rm -rf ./output/snapshots/*
-#DATA_ROOT=/mnt/13_nfs/xuan/ImageNet/ofrecord
-DATA_ROOT=/dataset/ImageNet/ofrecord
+#DATA_ROOT=/DATA/disk1/of_imagenet_example
+DATA_ROOT=/DATA/disk1/ImageNet/ofrecord
+#DATA_ROOT=/dataset/ImageNet/ofrecord
 #DATA_ROOT=/dataset/imagenet-mxnet
   #python3 cnn_benchmark/of_cnn_train_val.py \
 #nvprof -f -o resnet.nvvp \
@@ -13,13 +14,19 @@ DATA_ROOT=/dataset/ImageNet/ofrecord
     --val_data_part_num=256 \
     --num_nodes=1 \
     --node_ips='11.11.1.12,11.11.1.14' \
-    --gpu_num_per_node=4 \
+    --gpu_num_per_node=8 \
     --optimizer="momentum-cosine-decay" \
     --learning_rate=0.256 \
     --loss_print_every_n_iter=20 \
-    --batch_size_per_device=32 \
+    --batch_size_per_device=64 \
     --val_batch_size_per_device=125 \
+    --use_boxing_v2=True \
+    --use_new_dataloader=True \
     --model="resnet50" 
+    # --train_data_dir=$DATA_ROOT/train \
+    # --train_data_part_num=256 \
+    # --val_data_dir=$DATA_ROOT/validation \
+    # --val_data_part_num=256 \
     #--use_fp16 true \
     #--weight_l2=3.0517578125e-05 \
     #--num_examples=1024 \