Changes in version 0.2.1 (2025-09-03)                  

Changes

  - For CRAN check compatibility and issues with torch::torch_install(),
    torch-related tests auto skip on CRAN.
  - Move lifecycle from imports to Suggests since it is a build time
    developer dependency instead of a user-required dependency.

                        Changes in version 0.2.0                        

Additions

  - Add backend for torch's torch_tensor objects for the three core
    functions rearrange(), reduce() and "repeat"()
  - zeallot is now a suggested dependency for users
  - lintr is now a suggested dependency for developers

Changes

  - Minor updates in documentation and docker infrastructure in the
    sourcecode

                        Changes in version 0.1.0                        

  - Initial release. The only python einops function implementations are
    rearrange, reduce, repeat, and parse_shape, and the only backend
    supported is for base::array objects. The first einops tutorial has
    also been mostly re-implemented as a vignette