What is Quadrants Typing?

A typing layer for the quadrants, plus PEP 561 type stubs for the quadrants package itself. Installing this one package gives quadrants users both:

  • quadrants_typing — generic Vec, Mat, NDArray, dimension, and dtype types for annotating quadrants kernels. Import it under the conventional alias:

    import quadrants_typing as qdt
import quadrants as qd

@qd.kernel
def add(
    x: qdt.NDArray[qd.i32, qdt.Dim1], 
    y: qdt.NDArray[qd.i32, qdt.Dim1],
) -> None:
    for i in range(x.shape[0]):
        x[i] = y[i]

  • Automatic quadrants stubs — type checkers (pyright, mypy) discover the bundled quadrants-stubs package via PEP 561 with no configuration, so import quadrants is fully typed.

Quadrants Replacements

Type annotations replaces directly some quadrants functions, mostly from qd.types. Here is a full table:

  • N,R,C in {1,2,3,4,5,6,7,8}
  • dtype n {qd.u8, qd.u16, qd.u32, ... etc.}
Description qdt version qd version Example
Concrete tensor type qdt.NDArray[qd.<dtype>, Dim<N>] qd.types.NDArray[qd.<dtype>, <N>] qdt.NDArray[qd.i32, Dim3]
Templated tensor type qdt.NDArray[T, DimAny] qd.types.ndarray(dtype=None, ndim=None) def f[T: (qd.i32, qd.f32)](arr: qdt.NDArray[T, DimAny])
Vector type qdt.Vec[qd.<dtype>, Dim<N>] qd.types.vector(<N>, qd.<dtype>) qdt.Vec[qd.f32, Dim3]
Matrix type qdt.Mat[qd.<dtype>, Dim<R>, Dim<C>] qd.types.matrix(<R>, <C>, qd.<dtype>) qdt.Mat[qd.f32, Dim3, Dim4]
Compile-time value qdt.Template[T] qd.template() qdt.Template[bool]

If you would like to construct tensors with a rank greater than 8, or vectors and matrices with any dimension longer than 8, you can. See weird_hacks example for how to create the annotation, or use qd.types.vector or qd.types.matrix if you only need a constructor (e.g. for a local array).

Examples

Runnable, annotated example programs live in examples/. Run one by name:

pixi run example init_ndarray

How Finished is This?

Not at all! There's lots of work still to be done :P. Please help!

Omissions

Names present in quadrants that we intentionally do not stub in qdt, with the reason / recommended alternative:

Intentional

  • qd.types.struct: use dataclasses.dataclass
  • qd.types.NDArray: superseded by qdt.NDArray[qd.<dtype>, Dim<N>]
  • qd.types.ndarray: superseded by qdt.NDArray[T, DimAny]
  • qd.types.Template: superseded by qdt.Template[T]
  • qd.template: superseded by qdt.Template[T]

Todo

  • qd.types.ref: todo(real_func)
  • qd.types.quant.* (int, float, fixed): todo(field)
  • qd.types.sparse_matrix_builder: todo(sparse_matrix)
  • quadrants.lang.simt.grid, .tile_slicing: todo(simt) — simt.block, .warp, .subgroup (incl. its reductions/sorting re-exports) are stubbed

Project links

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Credits

Author: Oliver Iliffe

GitHub Statistics

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License expression

MIT
View SPDX License List

Requires

Python >=3.12

Tags

pep561 quadrants stubs taichi type-hints typing

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