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MLPerf Inference Nvidia implementations #16

MLPerf Inference Nvidia implementations

MLPerf Inference Nvidia implementations #16

name: MLPerf Inference Nvidia implementations
on:
schedule:
- cron: "54 22 * * *" #to be adjusted
jobs:
run_nvidia:
if: github.repository_owner == 'gateoverflow'
runs-on:
- self-hosted
- linux
- x64
- cuda
- ${{ matrix.system }}
strategy:
fail-fast: false
matrix:
system: [ "GO-spr", "phoenix", "i9" ]
python-version: [ "3.12" ]
model: [ "resnet50", "retinanet", "bert-99", "bert-99.9", "gptj-99.9", "3d-unet-99.9" ]
exclude:
- system: i9
model: gptj-99.9
- system: phoenix
model: gptj-99.9
steps:
- name: Test MLPerf Inference NVIDIA ${{ matrix.model }}
run: |
# Set hw_name based on matrix.system
if [ "${{ matrix.system }}" = "GO-spr" ]; then
hw_name="RTX4090x2"
else
hw_name="RTX4090x1"
fi
if [ -f "gh_action/bin/deactivate" ]; then source gh_action/bin/deactivate; fi
python3 -m venv gh_action
source gh_action/bin/activate
export CM_REPOS=$HOME/GH_CM
pip install --upgrade cm4mlops
cm pull repo
cm run script --tags=run-mlperf,inference,_all-scenarios,_submission,_full,_r4.1-dev --preprocess_submission=yes --adr.submission-checker-src.tags=_branch.dev --execution_mode=valid --gpu_name=rtx_4090 --pull_changes=yes --pull_inference_changes=yes --model=${{ matrix.model }} --submitter="MLCommons" --hw_name=$hw_name --implementation=nvidia --backend=tensorrt --category=datacenter,edge --division=closed --docker_dt=yes --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --adr.compiler.tags=gcc --device=cuda --use_dataset_from_host=yes --results_dir=$HOME/gh_action_results --submission_dir=$HOME/gh_action_submissions --clean --docker --quiet
cm run script --tags=push,github,mlperf,inference,submission --repo_url=https://github.com/gateoverflow/mlperf_inference_unofficial_submissions_v5.0 --repo_branch=main --commit_message="Results from GH action on NVIDIA_$hw_name" --quiet --submission_dir=$HOME/gh_action_submissions --hw_name=$hw_name