Created by: shippingwang

Speedup Image Classification training speed

• add eval shape arguments, for different image shape processing, like inception v4
• add multiprocess reader, set cv2 as the default reader
• call reading files func in every training loop, and use pass id as the seed to implement global shuffle
• run normalization operations onto GPU, use uint8 to transfer data in order to use fewer bytes

Experiments Results: