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Implement benchmarks for broadcasting QO types #1

Implement benchmarks for broadcasting QO types

Implement benchmarks for broadcasting QO types #1

Workflow file for this run

name: Performance tracking
on:
pull_request:
env:
PYTHON: ~
jobs:
performance-tracking:
runs-on: ubuntu-latest
#runs-on: self-hosted
steps:
# setup
- uses: actions/checkout@v4
- uses: julia-actions/setup-julia@latest
with:
version: '1.10'
- uses: julia-actions/julia-buildpkg@latest
- name: install dependencies
run: julia -e 'using Pkg; pkg"add PkgBenchmark BenchmarkCI@0.1"'
# run the benchmark suite
- name: run benchmarks
run: |
julia -e '
using BenchmarkCI
BenchmarkCI.judge()
BenchmarkCI.displayjudgement()
'
# generate and record the benchmark result as markdown
- name: generate benchmark result
run: |
body=$(julia -e '
using BenchmarkCI
let
judgement = BenchmarkCI._loadjudge(BenchmarkCI.DEFAULT_WORKSPACE)
title = "Benchmark Result"
ciresult = BenchmarkCI.CIResult(; judgement, title)
BenchmarkCI.printcommentmd(stdout::IO, ciresult)
end
')
body="${body//'%'/'%25'}"
body="${body//$'\n'/'%0A'}"
body="${body//$'\r'/'%0D'}"
echo $body > ./benchmark-result.artifact
# record the pull request number
- name: record pull request number
run: echo ${{ github.event.pull_request.number }} > ./pull-request-number.artifact
# save as artifacts (performance tracking (comment) workflow will use it)
- uses: actions/upload-artifact@v4
with:
name: performance-tracking
path: ./*.artifact