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userbenchmark-a100-bisection.yml
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name: TorchBench A100 bisection
on:
workflow_dispatch:
inputs:
start_commit:
description: "Start PyTorch commit hash"
required: true
end_commit:
description: "End PyTorch commit hash"
required: true
userbenchmark:
description: "Userbenchmark name"
required: true
userbenchmark_args:
description: "Userbenchmark arguments"
required: true
jobs:
bisection:
environment: docker-s3-upload
env:
BASE_CONDA_ENV: "torchbench"
CONDA_ENV: "bisection-ci-a100"
PLATFORM_NAME: "gcp_a100"
SETUP_SCRIPT: "/workspace/setup_instance.sh"
BISECT_WORKDIR: ".userbenchmark/${{ github.env.userbenchmark }}/bisection"
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
if: ${{ github.repository_owner == 'pytorch' }}
runs-on: [self-hosted, a100-runner]
timeout-minutes: 2880 # 48 hours
steps:
- name: Checkout
uses: actions/checkout@v3
with:
path: benchmark
- name: Checkout pytorch
uses: actions/checkout@v3
with:
repository: pytorch/pytorch
path: srcs/pytorch
fetch-depth: 0
- name: Checkout torchvision
uses: actions/checkout@v3
with:
repository: pytorch/vision
path: srcs/vision
fetch-depth: 0
- name: Checkout torchaudio
uses: actions/checkout@v3
with:
repository: pytorch/audio
path: srcs/audio
fetch-depth: 0
- name: Tune Nvidia GPU
run: |
sudo nvidia-smi -pm 1
sudo nvidia-smi -ac 1215,1410
nvidia-smi
- name: Install Deps
run: |
sudo apt-get -y update && sudo apt -y update
- name: Setup conda env
run: |
CONDA_ENV=${BASE_CONDA_ENV} . "${SETUP_SCRIPT}"
cd benchmark
python ./utils/python_utils.py --create-conda-env "${CONDA_ENV}"
- name: Setup bisection environment
run: |
. "${SETUP_SCRIPT}"; cd benchmark
python utils/cuda_utils.py --install-torch-build-deps
python utils/cuda_utils.py --install-torchbench-deps
mkdir -p "${BISECT_WORKDIR}"
python utils/cuda_utils.py --install-torch-nightly
# The userbenchmark requires psutil
pip install psutil
python run_benchmark.py ${{ github.event.inputs.userbenchmark }} ${{ github.event.inputs.userbenchmark_args }} --dryrun \
--output "${BISECT_WORKDIR}/metric-control.json"
python run_benchmark.py ${{ github.event.inputs.userbenchmark }} ${{ github.event.inputs.userbenchmark_args }} --dryrun \
--output "${BISECT_WORKDIR}/metric-treatment.json"
python regression_detector.py \
--control "${BISECT_WORKDIR}/metrics-control.json" --treatment "${BISECT_WORKDIR}/metrics-treatment.json" \
--output "${BISECT_WORKDIR}/regression-gh${GITHUB_RUN_ID}.yaml"
pip uninstall -y torch torchvision torchaudio torch_tensorrt
- name: Bisection
run: |
. "${SETUP_SCRIPT}"; cd benchmark
python bisection.py --work-dir "${BISECT_WORKDIR}" --torch-repos-path "${PWD}/../srcs" \
--torchbench-repo-path "${PWD}" --config "${BISECT_WORKDIR}/regression-gh${GITHUB_RUN_ID}.yaml" \
--output "${BISECT_WORKDIR}/bisect-output-gh${GITHUB_RUN_ID}.json"
cp -r "${BISECT_WORKDIR}" ../bisection-result
- name: Upload artifact
if: always()
uses: actions/upload-artifact@v3
with:
name: Bisection result
path: bisection-result/
- name: Clean up Conda env
if: always()
run: |
. "${SETUP_SCRIPT}"
conda deactivate && conda deactivate
conda remove -n "${CONDA_ENV}" --all