weihe 68e894ab3c [llvm-profdata] Implement llvm-profdata overlap for sample profiles ... Implemented the `llvm-profdata overlap` feature for sample profiles. It reports weighted //similarity// and unweighted //overlap// metrics at program and function level for two input profiles. Similarity metrics are symmetric with regards to the order of two input profiles. By default, the tool only reports program-level summary. Users can look into function-level details via additional options `--function`, `--similarity-cutoff`, and `--value-cutoff`. The similarity metrics are designed as follows: * Program-level summary * Whole program profile similarity is an aggregate over function-level similarity `FS`: `PS = sum(FS(A) * avg_weight(A))` for all function `A`. * Whole program sample overlap: `PSO = common_samples / total_samples`. * Function overlap: `FO = #common_function / #total_function`. * Hot-function overlap: `HFO = #common_hot_function / #total_hot_function`. * Hot-block overlap: `HBO = #common_hot_block / #total_hot_block`. * Function-level details * Function-level similarity is an aggregate over line/block-level similarities `BS` of all sample lines/blocks in the function, weighted by the closeness of the function's weights in two profiles: `FS = sum(BS(i)) * (1 - weight_distance(A))`. * Function-level sample overlap: `FSO = common_samples / total_samples` for samples in the function. Reviewed By: wenlei, hoyFB, wmi Differential Revision: https://reviews.llvm.org/D83852		2020-08-08 17:49:48 -07:00
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CMakeLists.txt
llvm-profdata.cpp	[llvm-profdata] Implement llvm-profdata overlap for sample profiles	2020-08-08 17:49:48 -07:00
LLVMBuild.txt