Commit Graph

4 Commits

Author SHA1 Message Date
Adam Nemet 6ab2d4891e New tool: opt-diff.py
This tool allows generating the different between two optimization record
files.  The result is a YAML file too that can be visualized with opt-viewer.

This is very useful to see what optimization were added and removed by a
change.

llvm-svn: 296767
2017-03-02 17:00:59 +00:00
Adam Nemet 7370dad18e [opt-viewer] Treat remarks with different attributes as different
We used to exclude arguments but for a diffed YAML file, it's interesting to
show these as changes.

Turns out this also affects gvn/LoadClobbered because we used to squash
multiple entries of this on the same line even if they reported clobbers
by *different* instructions.  This increases the number of unique entries now
and the share of gvn/LoadClobbered.

Total number of remarks      902287

Top 10 remarks by pass:
  inline                         43%
  gvn                            37%
  licm                           11%
  loop-vectorize                  4%
  asm-printer                     3%
  regalloc                        1%
  loop-unroll                     1%
  inline-cost                     0%
  slp-vectorizer                  0%
  loop-delete                     0%

Top 10 remarks:
  gvn/LoadClobbered              33%
  inline/Inlined                 16%
  inline/CanBeInlined            14%
  inline/NoDefinition             7%
  licm/Hoisted                    6%
  licm/LoadWithLoopInvariantAddressInvalidated  5%
  gvn/LoadElim                    3%
  asm-printer/InstructionCount    3%
  inline/TooCostly                2%
  loop-vectorize/MissedDetails    2%

llvm-svn: 296766
2017-03-02 17:00:56 +00:00
Adam Nemet a8b692a8e1 [opt-viewer] Don't use __getattr__ for missing YAML attributes
__getattr__ does not work well with debugging.  If the attribute function has
a run-time error, a missing attribute is reported instead.

llvm-svn: 296765
2017-03-02 17:00:53 +00:00
Adam Nemet b7278af54b New tool: opt-stats.py
I am planning to use this tool to find too noisy (missed) optimization
remarks.  Long term it may actually be better to just have another tool that
exports the remarks into an sqlite database and perform queries like this in
SQL.

This splits out the YAML parsing from opt-viewer.py into a new Python module
optrecord.py.

This is the result of the script on the LLVM testsuite:

Total number of remarks        714433

Top 10 remarks by pass:
  inline                         52%
  gvn                            24%
  licm                           13%
  loop-vectorize                  5%
  asm-printer                     3%
  loop-unroll                     1%
  regalloc                        1%
  inline-cost                     0%
  slp-vectorizer                  0%
  loop-delete                     0%

Top 10 remarks:
  gvn/LoadClobbered              20%
  inline/Inlined                 19%
  inline/CanBeInlined            18%
  inline/NoDefinition             9%
  licm/LoadWithLoopInvariantAddressInvalidated  6%
  licm/Hoisted                    6%
  asm-printer/InstructionCount    3%
  inline/TooCostly                3%
  gvn/LoadElim                    3%
  loop-vectorize/MissedDetails    2%

Beside some refactoring, I also changed optrecords not to use context to
access global data (max_hotness).  Because of the separate module this would
have required splitting context into two.  However it's not possible to access
the optrecord context from the SourceFileRenderer when calling back to
Remark.RelativeHotness.

llvm-svn: 296682
2017-03-01 21:35:00 +00:00