skia2/infra/canvaskit/perf_canvaskit.sh
Kevin Lubick f2a146c6ad [canvaskit] Add perf jobs
Of note, the perf results reported are not directly
comparable CPU->GPU because the GPU ones are likely
emulated (no real gpu in the Docker container on an
GCE VM).

Bug: skia:
Change-Id: I52259085f4d9e22c45b67f3e8ce1211a5c6c6d3e
Reviewed-on: https://skia-review.googlesource.com/c/163126
Reviewed-by: Kevin Lubick <kjlubick@google.com>
2018-10-17 19:41:16 +00:00

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#!/bin/bash
# Copyright 2018 Google LLC
#
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# This assumes it is being run inside a docker container of perf-karma-chrome-tests
# and a Skia checkout has been mounted at /SRC and the output directory
# is mounted at /OUT
# For example:
# docker run -v $SKIA_ROOT:/SRC -v /tmp/dockerout:/OUT gcr.io/skia-public/perf-karma-chrome-tests:68.0.3440.106_v1 /SRC/infra/canvaskit/perf_canvaskit.sh
set -ex
#BASE_DIR is the dir this script is in ($SKIA_ROOT/infra/pathkit)
BASE_DIR=`cd $(dirname ${BASH_SOURCE[0]}) && pwd`
PATHKIT_DIR=$BASE_DIR/../../experimental/canvaskit
# Start the aggregator in the background
/opt/perf-aggregator $@ &
# Run the tests 10 times to get a wide set of data
for i in `seq 1 10`;
do
npx karma start $PATHKIT_DIR/karma.bench.conf.js --single-run
done
# Tell the aggregator to dump the json
# This curl command gets the HTTP code and stores it into $CODE
CODE=`curl -s -o /dev/null -I -w "%{http_code}" -X POST localhost:8081/dump_json`
if [ $CODE -ne 200 ]; then
# If we don't get 200 back, something is wrong with writing to disk, so exit with error
exit 1
fi