mlperf.yml

name: Run MLPerf Training

on:
  schedule:
    - cron: '5 8 * * *'  # Runs at 08:05 UTC (12:05 AM Pacific Time)
  push:
    branches:
      - update_mlperf
  workflow_dispatch:

jobs:
  run_script_job:
    runs-on: [self-hosted, Linux, tinybox]
    if: github.repository_owner == 'tinygrad'
    timeout-minutes: 720

    steps:
    - name: Checkout Code
      uses: actions/checkout@v4
    - name: Cleanup running AM processes
      run: python extra/amdpci/am_smi.py --pids --kill
    - name: Symlink datasets
      run: |
        mkdir -p extra/datasets
        ln -s /raid/datasets/imagenet extra/datasets/imagenet
    - name: Run resnet
      run: |
        rm "~/.cache/tinygrad/cache_mlperf.db" || true
        BENCHMARK_LOG=mlpert_train_resnet LOGMLPERF=0 CACHEDB="~/.cache/tinygrad/cache_mlperf.db" examples/mlperf/training_submission_v5.1/tinycorp/benchmarks/resnet/implementations/tinybox_red/run_and_time.sh
        rm "~/.cache/tinygrad/cache_mlperf.db"