Proj CDeepFuzz Paper Reading: Automatic differentiation in PyTorch
Abstract
本文：描述automatic differentiation module of PyTorch
包括：Lua Torch, Chainer, HIPS Autograd
Task: Provides a high-performance environment on different devices(both CPUs and GPUs)
方法：不用symbolic differentiation, 而是使用differentiation on purely imperative programs
特点：focus on extensibility and low overhead
