When working with AI frameworks and machine learning libraries, clearly document the stability state of APIs being used. For experimental or evolving features:
When working with AI frameworks and machine learning libraries, clearly document the stability state of APIs being used. For experimental or evolving features:
For example, when documenting a feature with known limitations:
// EXPERIMENTAL: Boolean operators (&&, ||) are not differentiable in v0.11
// Use these alternative functions until the next release:
extension Bool {
public static func and(_ a: Bool, _ b: Bool) -> Bool {
if a {
if b {
return true
}
}
return false
}
// Usage: if Bool.and(condition1, condition2) instead of if condition1 && condition2
}
// TODO: Remove when upgrading to Swift release with apple/swift/pull/33511
This approach helps users understand current limitations, provides immediate solutions, and establishes clear upgrade paths when the framework evolves.
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