General InformationThis document provides technical information for migration from Chainer to PyTorch. General InformationConcepts and components in both frameworksArray LibraryChainer uses NumPy/CuPy (xp.ndarray) as an array library, and wraps them as chainer.Variable to support autograd. Similarly, PyTorch uses ATen (at::Tensor (C++)) as an array library ("tensor library" in PyTorch terms), and wraps it as torch::
https://www.cc.u-tokyo.ac.jp/events/lectures/100/20180531-4.pdf
Hydra: Pixar's Real-Time Render Engine for Feature Film Assets and Workflows / GPU Technology Conference 2015
