v0.16.3

TensorKit v0.16.3

Diff since v0.16.2

A patch release with expanded Mooncake support, improved GPU compatibility, and documentation updates.

Highlights

• Expanded Mooncake AD rules for broader automatic differentiation coverage (#356).
• Adapt support for BraidingTensor, enabling GPU array adaptation workflows (#374).
• Additional upstream and CUDA compatibility fixes, including Base.ones/zeros accepting CuArray (#373).

Notable changes

Added

• Expanded set of Mooncake AD rules for more comprehensive differentiation support (#356).
• Adapt.jl support for BraidingTensor, allowing it to be adapted to GPU arrays (#374).

Changed

• Documentation improvements and updates across multiple sections (#345).

Fixed

• Base.ones and Base.zeros now accept CuArray storage types for CUDA tensors (#373).
• Additional small fixes for upstream Julia and CUDA compatibility (#373).

Upgrade notes

• This is a patch release; the public API remains compatible with v0.16.2.
• Mooncake rule expansion may improve differentiation of previously unsupported operations.

Full changelog

Merged pull requests:

• Some more documentation progress (#345) (@Jutho)
• Expand set of Mooncake rules (#356) (@lkdvos)
• A few more small fixes for upstream + CUDA (#373) (@kshyatt)
• Adapt for BraidingTensor (#374) (@lkdvos)
• Bump v0.16.3 (#377) (@lkdvos)

Closed issues:

• Support for AD with Mooncake (#338)
• Documentation inconsistent with actual operations that exist (#372)