v0.2.1

Breaking changes

• Made torch_one_hot and nnf_one_hot use 1-based indexing. (#410)
• nn_module$eval() and nn_module$train() now return a callable nn_module instead of a nn_Module. (#425)

New features

• Added a custom CPU allocator to call gc when torch might need more memory (#402)
• Updated to LibTorch 1.7.1 (#412)
• Allow listing all nested modules in a nn_module (#417)
• Allow modifying the requires_grad attribute using the $<- operator (#419)
• Added length method for the nn_sequential container. (#423)
• Added support for CUDA 11 on linux (#424)

Bug fixes

• Fix support for cuda 9.2 (#398)
• Fixed GPU CI that was skipping tests. (#398)
• Fixed a memory leak when printing tensors (#402)
• Fixed a memory leak when passing integer vectors to lantern. (#402)
• Fixed a few more memory leaks related to autograd context (#405)
• Fixed nnf_normalize and x$norm() as they were not able to be called (#409)

Documentation

• Small improvement to nn_module documentation (#399).
• The getting started section has been removed from the pkgdown website in favor of the new guide in the landing page (#401)
• Updated the landing page to include a getting started tutorial (#400)