Scans and reduction functions

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需要釐清
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cpp
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backend

研究方向

從相關 issue #3339 開始,然後檢視針對 fold_left、fold_right、reduce 和 scan 提出的語意,以及關於平行演算法的連結參考資料。在實作之前,釐清 Stan 應支援哪些函式及其 API 和求值要求;當範圍達成共識且所選函式已一致地實作時,即視為完成。

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描述

feature new function

Related to #3339, there are also common higher-order functions that return a different type than their input.

Some common options are:

  • fold_left(F, T, ...) => f(f(f(f(T[0], T[1]), T[2]), ...), T[3]) (sometimes, rather than starting at T[0], an extra 'init' argument is passed)
  • fold_right, which is the same idea but with the opposite association f(T[0], f(T[1], ...f(T[N], init)))
  • reduce, which is defined such that it is equivalent to the above when the f is associative but does not explicitly state an order of evaluation. The cool thing about reduce is it can be parallelized, c.f. foldl and foldr Considered Slightly Harmful, and More Fun with Moniods
  • scan, which returns a cumulative evaluation scan(f, T, ...) => [T[1], f(T[1], T[2]), f(f(T[1], T[2]), T3), ...]. Note that scan can also be parallelized when f is associative, c.f. Prefix Sums and their Applications. (Note: even though reduce(f, T, ...) == scan(f, T, ...)[N], the ideal parallelization algorithms actually differ)

There are other functions of questionable value to Stan in this family, like folding_map which returns both a carry and a mapped container (this is, confusingly, what JAX calls scan. Scans a-la Blelloch as described above are called associative_scan in JAX)

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