1. Download pyruntime.tgz from NAS server("ai/prebuilt/pyruntime.tgz")
   This package provides a complete environment of python3.6, and also contains
   modules of torch, torchvision, numpy and cvitek's runtime python wrapper.

2. Decompress pacakge to soc platform:
   $ cd /mnt/data
   $ tar -zxvf pyruntime.tgz ./

3. Setup environment variables.
   $ export PATH=/mnt/data/python/bin/:/mnt/data/cvitek_tpu_sdk/bin:${PATH}
   $ export LD_LIBRARY_PATH=/mnt/data/python/lib:/mnt/data/cvitek_tpu_sdk/lib:${LD_LIBRARY_PATH}
   $ export PYTHON_EGG_CACHE=/mnt/data/python/.cache/

4. Run accuracy evaluation script:
   $ ./eval_imagenet.py \
        --dataset imagenet/img_val_extracted/ \
        --cvimodel resnet50_bs4.cvimodel \
        --count 1000 --batch_size 4 \
        --image_resize_dims 256,256 \
        --net_input_dims 224,224 \
        --mean 104.01,116.67,122.68