Re:CuPy – NumPy-compatible matrix library accelerated by CUDA
by colesbury on Wednesday April 17, 2019 @12:01AM
(#19679658)
The PyTorch tensor library was originally basically the Python version of Torch 7. It's now moving closer towards NumPy's API (and farther from Torch 7).
Th autograd library was inspired by Chainer's design and took a lot of concepts (but not code) directly from Chainer. The neural network API is a bit of a hybrid. It's built on top of the autograd library but the layer names, implementations, and some conventions were inherited from Torch 7's NN and cuNN libraries.
(EDIT: and the name "autograd" originates from HIPS autograd library, which I think predates Chainer)
Th autograd library was inspired by Chainer's design and took a lot of concepts (but not code) directly from Chainer. The neural network API is a bit of a hybrid. It's built on top of the autograd library but the layer names, implementations, and some conventions were inherited from Torch 7's NN and cuNN libraries.
(EDIT: and the name "autograd" originates from HIPS autograd library, which I think predates Chainer)