add --venv_path option for running without containers#31
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JeniaJitsev merged 100 commits intomainfrom Feb 4, 2026
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Add a GitHub Actions workflow that sets up a real SLURM cluster with Apptainer on a GPU runner to test the schedule_evals workflow end-to-end. - New workflow: slurm-integration.yml - Sets up SLURM (slurmctld + slurmd) on AWS GPU runner - Installs Apptainer and builds test container - Pre-downloads tiny-gpt2 model and arc_easy dataset - Runs integration test that validates full workflow - New test container: tests/integration/ci.def - Based on PyTorch with CUDA support - Includes lm_eval and dependencies - New integration test: tests/integration/test_slurm.py - Submits real SLURM job via schedule_evals - Waits for completion and validates results JSON - Updated clusters.yaml with CI cluster configuration
Switch to CPU instances (i7ie) since GPU quota is not available: - Remove GPU/GRES configuration from SLURM setup - Update test to support --dry-run mode for CPU-only testing - Validate sbatch script generation without actual job execution - Update CI cluster config to use debug partition Full GPU testing can be re-enabled later when quota is available.
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This wasn't meant to be merged yet @JeniaJitsev |
timurcarstensen
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This reverts commit c015e51.
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Adds
--venv_pathtoschedule-eval. If provided, jobs run using that venv instead of a container.CI updated to test both modes.
merge after #28
Summary: