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diffusers/.github/workflows/benchmark.yml
Sayak Paul e6639fef70 [benchmarks] overhaul benchmarks (#11565)
* start overhauling the benchmarking suite.

* fixes

* fixes

* checking.

* checking

* fixes.

* error handling and logging.

* add flops and params.

* add more models.

* utility to fire execution of all benchmarking scripts.

* utility to push to the hub.

* push utility improvement

* seems to be working.

* okay

* add torchprofile dep.

* remove total gpu memory

* fixes

* fix

* need a big gpu

* better

* what's happening.

* okay

* separate requirements and make it nightly.

* add db population script.

* update secret name

* update secret.

* population db update

* disable db population for now.

* change to every monday

* Update .github/workflows/benchmark.yml

Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* quality improvements.

* reparate hub upload step.

* repository

* remove csv

* check

* update

* update

* threading.

* update

* update

* updaye

* update

* update

* update

* remove peft dep

* upgrade runner.

* fix

* fixes

* fix merging csvs.

* push dataset to the Space repo for analysis.

* warm up.

* add a readme

* Apply suggestions from code review

Co-authored-by: Luc Georges <McPatate@users.noreply.github.com>

* address feedback

* Apply suggestions from code review

* disable db workflow.

* update to bi weekly.

* enable population

* enable

* updaye

* update

* metadata

* fix

---------

Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Luc Georges <McPatate@users.noreply.github.com>
2025-07-04 11:04:17 +05:30

89 lines
2.9 KiB
YAML

name: Benchmarking tests
on:
workflow_dispatch:
schedule:
- cron: "30 1 1,15 * *" # every 2 weeks on the 1st and the 15th of every month at 1:30 AM
env:
DIFFUSERS_IS_CI: yes
HF_HUB_ENABLE_HF_TRANSFER: 1
HF_HOME: /mnt/cache
OMP_NUM_THREADS: 8
MKL_NUM_THREADS: 8
BASE_PATH: benchmark_outputs
jobs:
torch_models_cuda_benchmark_tests:
env:
SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL_BENCHMARK }}
name: Torch Core Models CUDA Benchmarking Tests
strategy:
fail-fast: false
max-parallel: 1
runs-on:
group: aws-g6e-4xlarge
container:
image: diffusers/diffusers-pytorch-cuda
options: --shm-size "16gb" --ipc host --gpus 0
steps:
- name: Checkout diffusers
uses: actions/checkout@v3
with:
fetch-depth: 2
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Install dependencies
run: |
apt update
apt install -y libpq-dev postgresql-client
python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
python -m uv pip install -e [quality,test]
python -m uv pip install -r benchmarks/requirements.txt
- name: Environment
run: |
python utils/print_env.py
- name: Diffusers Benchmarking
env:
HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
run: |
cd benchmarks && python run_all.py
- name: Push results to the Hub
env:
HF_TOKEN: ${{ secrets.DIFFUSERS_BOT_TOKEN }}
run: |
cd benchmarks && python push_results.py
mkdir $BASE_PATH && cp *.csv $BASE_PATH
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: benchmark_test_reports
path: benchmarks/${{ env.BASE_PATH }}
# TODO: enable this once the connection problem has been resolved.
- name: Update benchmarking results to DB
env:
PGDATABASE: metrics
PGHOST: ${{ secrets.DIFFUSERS_BENCHMARKS_PGHOST }}
PGUSER: transformers_benchmarks
PGPASSWORD: ${{ secrets.DIFFUSERS_BENCHMARKS_PGPASSWORD }}
BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
run: |
git config --global --add safe.directory /__w/diffusers/diffusers
commit_id=$GITHUB_SHA
commit_msg=$(git show -s --format=%s "$commit_id" | cut -c1-70)
cd benchmarks && python populate_into_db.py "$BRANCH_NAME" "$commit_id" "$commit_msg"
- name: Report success status
if: ${{ success() }}
run: |
pip install requests && python utils/notify_benchmarking_status.py --status=success
- name: Report failure status
if: ${{ failure() }}
run: |
pip install requests && python utils/notify_benchmarking_status.py --status=failure