[all-commits] [llvm/llvm-project] 8c63df: [MLInliner] Support training that doesn't require ...

[Mircea Trofin via All-commits]

  Branch: refs/heads/master
  Home:   https://github.com/llvm/llvm-project
  Commit: 8c63df2416dc7a492f6464519b516a202147dc91
      https://github.com/llvm/llvm-project/commit/8c63df2416dc7a492f6464519b516a202147dc91
  Author: Mircea Trofin <mtrofin at google.com>
  Date:   2020-08-24 (Mon, 24 Aug 2020)

  Changed paths:
    M llvm/lib/Analysis/DevelopmentModeInlineAdvisor.cpp
    M llvm/test/Transforms/Inline/ML/development-training-log.ll

  Log Message:
  -----------
  [MLInliner] Support training that doesn't require partial rewards

If we use training algorithms that don't need partial rewards, we don't
need to worry about an ir2native model. In that case, training logs
won't contain a 'delta_size' feature either (since that's the partial
reward).

Differential Revision: https://reviews.llvm.org/D86481