This results in a speed-up of over 6x on sqlite3.
Before:
$ time -p /org/llvm/utils/opt-viewer/opt-viewer.py ./MultiSource/Applications/sqlite3/CMakeFiles/sqlite3.dir/sqlite3.c.opt.yaml html
real 415.07
user 410.00
sys 4.66
After with libYAML:
$ time -p /org/llvm/utils/opt-viewer/opt-viewer.py ./MultiSource/Applications/sqlite3/CMakeFiles/sqlite3.dir/sqlite3.c.opt.yaml html
real 63.96
user 60.03
sys 3.67
I followed these steps to get libYAML working with PyYAML: http://rmcgibbo.github.io/blog/2013/05/23/faster-yaml-parsing-with-libyaml/
llvm-svn: 286942
When a function is inlined, each instance is optimized in their own
inlining context. This can produce different remarks all pointing to
the same source line.
This adds a new column on the source view to display the inlining
context.
llvm-svn: 286537
With this we get a new field in the YAML record if the value being
streamed out has a debug location. For examples, please see the changes
to the tests.
This is then used in opt-viewer to display a link for the callee
function in the inlining remarks.
Differential Revision: https://reviews.llvm.org/D26366
llvm-svn: 286169
This is a new tool built on top of the new YAML ouput generated from
optimization remarks. It produces HTML for easy navigation and
visualization.
The tool assumes that hotness information for the remarks is available
(the YAML file was produced with PGO). It uses hotness to list the
remarks prioritized by the hotness on the index page. Clicking the
source location of the remark in the list takes you the source where the
remarks are rendedered inline in the source.
For now, the tool is meant as prototype.
It's written in Python. It uses PyYAML to parse the input.
Differential Revision: https://reviews.llvm.org/D25348
llvm-svn: 283571
Adam Nemet