llvm-project/llvm/test/Transforms/Inline/ML
Mircea Trofin 55e2d2060a [MLGO] Use binary protobufs for improved training performance.
It turns out that during training, the time required to parse the
textual protobuf of a training log is about the same as the time it
takes to compile the module generating that log. Using binary protobufs
instead elides that cost almost completely.

Differential Revision: https://reviews.llvm.org/D106157
2021-07-19 13:59:28 -07:00
..
Inputs [MLInliner] Simplify TFUTILS_SUPPORTED_TYPES 2020-08-25 14:19:39 -07:00
bounds-checks-rewards.ll [MLGO] Use binary protobufs for improved training performance. 2021-07-19 13:59:28 -07:00
bounds-checks.ll [llvm][inliner] Reuse the inliner pass to implement 'always inliner' 2020-11-30 12:03:39 -08:00
development-training-log.ll [MLGO] Use binary protobufs for improved training performance. 2021-07-19 13:59:28 -07:00
ml-test-development-mode.ll Replace python3 with %python in ML inlining tests. 2021-06-23 21:14:54 +00:00
ml-test-release-mode.ll
size-estimator-default.ll [llvm] Moved InlineSizeEstimatorAnalysis test to .ll 2020-07-16 12:25:16 -07:00
size-estimator-training.ll [llvm] Moved InlineSizeEstimatorAnalysis test to .ll 2020-07-16 12:25:16 -07:00