How to build ResNet network to train with cuda

[HangJie720]

Although deep learning frameworks(e.g., TF, Pytorch,...) are commonly used to train models, I still want to try to build a Resnet model using Cudnn/ Cublas library for the deep learning training.
Could you give me some suggestions about how to create classic deep learning network(e.g., ResNet, ...) for cuda.
Thank you very much!
For Resnet18, Pad/AddV2/Reshape/Mean/BiasAdd Ops are still required to implement.