Tweeted By @PyTorch
v1.5: autograd API for Hessians/Jacobians, C++ frontend stable and 100% parity with Python, Better performance on GPU and CPU with Tensor Format ‘channels last’, distributed.rpc stable, Custom C++ class binding
— PyTorch (@PyTorch) April 21, 2020
Release notes: https://t.co/P3iisDOoRg
Blog: https://t.co/svnBmPyGHV