TorchBench Nightly #20
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name: TorchBench Nightly | |
on: | |
workflow_dispatch: | |
env: | |
TRITON_USE_ASSERT_ENABLED_LLVM: "TRUE" | |
jobs: | |
TorchBench-Nvidia: | |
runs-on: [self-hosted, A100] | |
steps: | |
- name: Clear cache | |
run: | | |
rm -rf ${HOME}/.triton | |
rm -rf ${HOME}/torchbench | |
- name: Checkout TorchBench | |
uses: actions/checkout@v4 | |
with: | |
repository: 'pytorch/benchmark' | |
ref: '7617d3f53f8ae8db938cda80173926968c7f0d4b' | |
path: 'torchbench' | |
submodules: 'recursive' | |
- name: Create Python venv | |
run: | | |
python3 -m venv ${HOME}/torchbench/venv | |
source ${HOME}/torchbench/venv/bin/activate | |
echo PATH=${PATH} >> $GITHUB_ENV | |
# Torch nightly version below must match TorchBench commit above | |
- name: Install TorchBench and models | |
run: | | |
python3 -m pip install --upgrade pip | |
python3 -m pip install --upgrade torch==2.2.0.dev20231017 torchvision==0.17.0.dev20231017 torchaudio==2.2.0.dev20231017 --index-url https://download.pytorch.org/whl/nightly/cu121 | |
cd torchbench | |
python3 install.py -v BERT_pytorch | |
# - name: Install the latest Triton wheel | |
# run: | | |
# python3 -m pip install --upgrade triton-nightly --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/Triton-Nightly/pypi/simple/ | |
- name: Tune Nvidia GPU | |
run: | | |
sudo nvidia-smi -pm 1 | |
sudo nvidia-smi --lock-gpu-clocks=1280,1280 | |
nvidia-smi | |
- name: Run TorchBench | |
run: | | |
cd torchbench | |
python3 run.py BERT_pytorch -d cuda -t eval --torchdynamo inductor | |
- name: Cleanup and reset GPU clocks | |
if: always() | |
run: | | |
sudo nvidia-smi -i 0 -rgc |