We have quite a few issues that request things like minmax, sincos or maybe gufuncs that "chain" very common operations, such as all_greater.

I do think there is merit in such functions but we are not likely to add them into the NumPy main namespace. (There was an old PR or branch by Julian I think where he added a bunch of similar ones such as multiply-4-numbers-and-add (which I guess is a SIMD intrinsic). (Seems I probably remembered this PR for linalg, where the initial version included a few fused ops)

I see two options for this:

1. If anyone wants to create these functions, I think we can definitely add them into their own repository/project in the NumPy organization.
2. It could make sense to have a np.lib.performance, at least for a subset of this type of functions.

There is little chance of adding a new functions such as this in the main namespace though, so this is to encourage anyone interesting in it to create a small additional package and then it will be easier to discuss about option 2. as well. That is my current angle on it.