v0.13.0

Breaking changes

• lantern is now distributed over a different URL (https://torch-cdn.mlverse.org).
  For most users this shouldn't have any effect, unless you need special authorization
  to access some URL's. (#1162)

New features

• Added support for a private $finalize_deep_clone() method for nn_module which
  allows to run some code after cloning a module.
• A compare_proxy method for the torch_tensor type was added
  it allows to compare torch tensors using testthat::expect_equal().
• Converting torch tensor to R array works when tensor has 'cuda' device (#1130)

Bug fixes

• Fix a bug on using input projection initialization bias in nnf_multi_head_attention_forward (#1154 @cregouby)
• Bugfix: calling $detach() on a tensor now preserves attributes (#1136)
• Make sure deep cloning of tensor and nn_module preserves class attributes and the requires_grad field. (#1129)
• Fixed that parameters and buffers of children of nn_modules were not cloned
• Cloned objects no longer reference the object from which they were cloned
• Fixed bug where nn_module's patched clone method was invalid after a call to
  the internal create_nn_module_callable()
• Printing of grad_fn now appends a new line at the end.
• Make sure deep cloning preserve state dict attributes. (#1129)
• Added separate setter and unsetter for the autocast context instead of only allowing local_autocast(). (#1142)
• Fixed a bug in torch_arange() causing it to return 1:(n-1) values when specific request dtype = torch_int64() (#1160)