[QST] Is the numba.extending.{overload,intrinsic} API supported?

[sjperkins]

numba affords the developer the ability to overload functions, methods and attributes, as well as implement intrinsics https://numba.readthedocs.io/en/stable/extending/index.html

I've found this very useful for CPU targets and it seems that similar functionality is available in numba CUDA:

numba-cuda/numba_cuda/numba/cuda/extending.py

Lines 133 to 150 in da60f0a

	def overload(
	func,
	jit_options=None,
	strict=True,
	inline="never",
	prefer_literal=False,
	target="cuda",
	**kwargs,
	):
	"""
	A decorator marking the decorated function as typing and implementing
	*func* in nopython mode.
	The decorated function will have the same formal parameters as *func*
	and be passed the Numba types of those parameters. It should return
	a function implementing *func* for the given types.
	Here is an example implementing len() for tuple types::

but it doesn't appear in the documentation https://nvidia.github.io/numba-cuda/index.html. Is this functionality supported?