d1bbd5f777
This also makes *sure* the CPU frequency we set the device to actually "takes". Along the way, I learned if scaling_max_freq is < the frequency we set, the scaling_max_freq will be used instead, which was happening to the PixelCs and AndroidOnes. As a result, this may make those two Test- configs faster. Bug: skia: Change-Id: I10c98d37e296a19e1cf67bfe7269bb59cdd912d5 Reviewed-on: https://skia-review.googlesource.com/74360 Commit-Queue: Kevin Lubick <kjlubick@google.com> Reviewed-by: Ben Wagner <benjaminwagner@google.com> Reviewed-by: Eric Boren <borenet@google.com> |
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.. | ||
bundle_recipes.expected | ||
calmbench.expected | ||
check_generated_files.expected | ||
compile.expected | ||
ct_skps.expected | ||
housekeeper.expected | ||
infra.expected | ||
perf.expected | ||
recreate_skps.expected | ||
skpbench.expected | ||
test.expected | ||
update_meta_config.expected | ||
upload_calmbench_results.expected | ||
upload_coverage_results.expected | ||
upload_dm_results.expected | ||
upload_nano_results.expected | ||
bundle_recipes.py | ||
calmbench.py | ||
check_generated_files.py | ||
compile.py | ||
ct_skps.py | ||
housekeeper.py | ||
infra.py | ||
perf.py | ||
README.md | ||
recreate_skps.py | ||
skpbench.py | ||
test.py | ||
update_meta_config.py | ||
upload_calmbench_results.py | ||
upload_coverage_results.py | ||
upload_dm_results.py | ||
upload_nano_results.py |
Skia Recipes
These are the top-level scripts which run inside of Swarming tasks to perform all of Skia's automated testing.
To run a recipe locally:
$ python infra/bots/recipes.py run --workdir=/tmp/<workdir> <recipe name without .py> key1=value1 key2=value2 ...
Each recipe may have its own required properties which must be entered as key/value pairs in the command.
When you change a recipe, you generally need to re-train the simulation test:
$ python infra/bots/recipes.py test run --train
Or:
$ cd infra/bots; make train
The test generates expectations files for the tests contained within each recipe which illustrate which steps would run, given a particular set of inputs. Pay attention to the diffs in these files when making changes to ensure that your change has the intended effect.