This release adds official support for custom dataclasses in the phiml.dataclasses module.
Highlights
- Dataclass decorators
@sliceable,@data_eq - Replacing some fields of a dataclass instance keeps all unaffected caches from
@cached_property - Dataclasses no longer need to handle
Nonevalues in comparisons when used in JIT or other tracing. - Shorthand function
*max,*min,*prod,*packfor specific dim types - New syntax for item name renaming while slicing, e.g.
tensor['y,x->a,b]selects the slices x and y and renames them. - Add
squeezeto remove singleton dims - Improve formatting of sparse matrices
clip()now acceptsShapefor the upper limit- Dim packing functions can now also be used for unpacking when passing one input and multiple output dims.