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v0.11.0
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@dfalbel dfalbel released this 06 Jun 17:41
v0.11.0
5a2a27e

Breaking changes

  • load_state_dict() for optimizers now default to cloning the tensors in the state dict, so they don't keep references to objects in the dict. (#1041)

New features

  • Added nn_utils_weight_norm (#1025)
  • Added support for reading from ordered state dicts serialized with PyTorch. (#1031)
  • Added jit_ops allowing to access JIT operators. (#1023)
  • Added with_device and local_device to allow temporarily modify the default device tensors get initialized. (#1034)
  • nnf_gelu() and nn_gelu() gained the approximate argument. (#1043)
  • Implemented != for torch devices. (#1042)
  • Allows setting the dtype with a string. (#1045)
  • You can now create a named list of modules using nn_module_dict(). (#1046)
  • Faster load_state_dict(), also using less memory. It' possible to use the legacy implementation if required, see PR. (#1051)
  • Export helpers for handling RNG state, and temprarily modifying it. (#1057)
  • Added support for converting half tensors into R with as.numeric(). (#1056)
  • Added new torch_tensor_from_buffer() and buffer_from_torch_tensor() that allow low level creation of torch tensors. (#1061, #1062)

Documentation

  • Improved documentation for LBFGS optimizer. (#1035)
  • Added a message asking the user to restart the session after a manual installation with install_torch(). (#1055)

Bug fixes

  • Fixed bug related to handling of non-persistent buffers. They would get added to the state_dict() even if they should not. (#1036)
  • Fixed a typo in the optim_adamw class name.
  • Fixed nn_cross_entropy_loss class name. (#1043)
  • Fixed bug in LBFGS w/ line search. (#1048)
  • Correctly handle the installation when RemoteSha is a package version. (#1058)

Internal

  • Started building LibLantern on macOS 11 instead of macOS12 for maximum compatibility. (#1026)
  • Added CXXSTD to Makevars to enable C+11 compilation options.
  • Refactored codepath for TensorOptions and now all tensors initialization are handled by the same codepath. (#1033)
  • Added internal argument .refer_to_state_dict to the load_state_dict() nn_module() method. Allows loading the state dict into the model keeping parmaters as references to that state dict. (#1036)
Assets 2