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name: Run benchmarks | ||
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on: | ||
pull_request: | ||
types: [labeled, opened, synchronize, reopened] | ||
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env: | ||
JULIA_NUM_THREADS: 2 | ||
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# Only trigger the benchmark job when you add `run benchmark` label to the PR | ||
jobs: | ||
Benchmark: | ||
runs-on: ubuntu-latest | ||
if: contains(github.event.pull_request.labels.*.name, 'run benchmark') | ||
steps: | ||
- uses: actions/checkout@v3 | ||
- uses: julia-actions/setup-julia@latest | ||
with: | ||
version: 1 | ||
- run: | | ||
using Pkg | ||
Pkg.pkg"registry add https://github.com/ACEsuit/ACEregistry" | ||
shell: bash -c "julia --color=yes {0}" | ||
- uses: julia-actions/julia-buildpkg@latest | ||
- name: Install dependencies | ||
run: julia -e 'using Pkg; Pkg.add(["PkgBenchmark", "BenchmarkCI"])' | ||
- name: Run benchmarks | ||
run: julia -e 'using BenchmarkCI; BenchmarkCI.judge(baseline = "origin/main")' | ||
- name: Post results | ||
# displayjudgement will post in CI output, postjudge should post to PR thread, but might fail | ||
run: julia -e 'using BenchmarkCI; BenchmarkCI.displayjudgement(); BenchmarkCI.postjudge()' | ||
env: | ||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | ||
# Uncomment this if you want the benchmarks to be pushed to the repo | ||
#- name: Push results | ||
# run: julia -e "using BenchmarkCI; BenchmarkCI.pushresult()" | ||
# env: | ||
# GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | ||
# SSH_KEY: ${{ secrets.DOCUMENTER_KEY }} |
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/docs/build/ | ||
.vscode | ||
literate_tutorials | ||
benchmark/tune.json |
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[deps] | ||
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf" | ||
LuxCore = "bb33d45b-7691-41d6-9220-0943567d0623" | ||
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c" | ||
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f" |
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using Polynomials4ML | ||
using BenchmarkTools | ||
using LuxCore, Random, Zygote | ||
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const P4ML = Polynomials4ML | ||
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SUITE = BenchmarkGroup() | ||
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## Test polynomials | ||
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SUITE["Polynomials"] = BenchmarkGroup() | ||
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N = 100 | ||
Np = 10 | ||
r = 2*rand(N) .- 1 | ||
tmp = zeros(N,N) | ||
tmp_d = similar(tmp) | ||
tmp_d2 = similar(tmp) | ||
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# Chebyshev | ||
ch_basis = ChebBasis(Np) | ||
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SUITE["Polynomials"]["Chebyshev"] = BenchmarkGroup() | ||
SUITE["Polynomials"]["Chebyshev"]["evaluation"] = @benchmarkable evaluate!($tmp, $ch_basis, $r) | ||
SUITE["Polynomials"]["Chebyshev"]["derivative"] = @benchmarkable evaluate_ed!($tmp, $tmp_d, $ch_basis, $r) | ||
SUITE["Polynomials"]["Chebyshev"]["2nd derivative"] = @benchmarkable evaluate_ed2!($tmp, $tmp_d, $tmp_d2, $ch_basis, $r) | ||
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# OrthPolyBasis1D3T | ||
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op_basis = OrthPolyBasis1D3T(randn(Np), randn(Np), randn(Np)) | ||
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SUITE["Polynomials"]["OrtoPoly1d3"] = BenchmarkGroup() | ||
SUITE["Polynomials"]["OrtoPoly1d3"]["evaluation"] = @benchmarkable evaluate!($tmp, $op_basis, $r) | ||
SUITE["Polynomials"]["OrtoPoly1d3"]["derivative"] = @benchmarkable evaluate_ed!($tmp, $tmp_d, $op_basis, $r) | ||
SUITE["Polynomials"]["OrtoPoly1d3"]["2nd derivative"] = @benchmarkable evaluate_ed2!($tmp, $tmp_d, $tmp_d2, $op_basis, $r) | ||
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## ACE pooling | ||
# this is a copy from profile/ace/profile_sparseprodpool.jl | ||
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# Helpers | ||
function _generate_basis(; order=3, len = 50) | ||
NN = [ rand(10:30) for _ = 1:order ] | ||
spec = sort([ ntuple(t -> rand(1:NN[t]), order) for _ = 1:len]) | ||
return PooledSparseProduct(spec) | ||
end | ||
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function _rand_input1(basis::PooledSparseProduct{ORDER}) where {ORDER} | ||
NN = [ maximum(b[i] for b in basis.spec) for i = 1:ORDER ] | ||
BB = ntuple(i -> randn(NN[i]), ORDER) | ||
end | ||
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function _rand_input(basis::PooledSparseProduct{ORDER}; nX = 10) where {ORDER} | ||
NN = [ maximum(b[i] for b in basis.spec) for i = 1:ORDER ] | ||
BB = ntuple(i -> randn(nX, NN[i]), ORDER) | ||
end | ||
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# | ||
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SUITE["ACE"] = BenchmarkGroup() | ||
SUITE["ACE"]["SparceProduct"] = BenchmarkGroup() | ||
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order = 4 | ||
basis1 = _generate_basis(; order=order) | ||
BB = _rand_input1(basis1) | ||
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nX = 64 | ||
order = 3 | ||
basis2 = _generate_basis(; order=order) | ||
bBB = _rand_input(basis2; nX = nX) | ||
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SUITE["ACE"]["SparceProduct"]["no pooling"] = @benchmarkable evaluate($basis1, $BB) | ||
SUITE["ACE"]["SparceProduct"]["pooling"] = @benchmarkable evaluate($basis2, $bBB) | ||
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l = Polynomials4ML.lux(basis2) | ||
ps, st = LuxCore.setup(MersenneTwister(1234), l) | ||
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SUITE["ACE"]["SparceProduct"]["lux evaluation"] = @benchmarkable l($bBB, $ps, $st) | ||
SUITE["ACE"]["SparceProduct"]["Zygote gradient"] = @benchmarkable Zygote.gradient(x -> sum($l(x, $ps, $st)[1]), $bBB) |
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# Benchmark Instructions | ||
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For general reference look BenchmarkTools [manual](https://juliaci.github.io/BenchmarkTools.jl/stable/manual/). | ||
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A simple way to run benchmarks is to call | ||
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```julia | ||
using BenchmarkTools | ||
using PkgBenchmark | ||
using Polynomials4ML | ||
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bench = benchmarkpkg(Polynomials4ML) | ||
results = bench.benchmarkgroup | ||
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# You can search with macro "@tagged" | ||
results[@tagged "derivative" && "Chebyshev"] | ||
``` | ||
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You can create `BenchmarkConfig` to control benchmark | ||
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```julia | ||
t2 = BenchmarkConfig(env = Dict("JULIA_NUM_THREADS" => 2)) | ||
bench_t2 = benchmarkpkg(Polynomials4ML, t2) | ||
``` | ||
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Benchmarks can be save to a file with | ||
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```julia | ||
export_markdown("results.md", bench) | ||
``` | ||
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Comparing current branch to another branch | ||
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```julia | ||
# current branch to "origin/main" | ||
j = judge(Polynomials4ML, "origin/main") | ||
``` | ||
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Benchmark scaling to different amount of threads | ||
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```julia | ||
t4 = BenchmarkConfig(env = Dict("JULIA_NUM_THREADS" => 4)) | ||
t8 = BenchmarkConfig(env = Dict("JULIA_NUM_THREADS" => 8)) | ||
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# Compare how much changing from 4-threads to 8 improves the performance | ||
j = judge(Polynomials4ML, t8, t4) | ||
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show(j.benchmarkgroup) | ||
``` | ||
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## CI Benchmarks | ||
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Benchmarks can be run automatically on PR's by adding label "Run Benchmarks" to the PR. | ||
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## Adding more benchmarks | ||
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Take a look at `benchmark/benchmarks.jl` for an example. If your benchmark depends on an additional packages you need to add the package to `benchmark/Project.toml`. |