| # Seer Oracle Replay |
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| Reproduce the Project Seer teacher-only resource study, then extend the scheduling experiments without the original GPU cluster. This repository contains the analysis code and handoff; **namezz/seer-agent-traces** contains immutable inputs and reference results. |
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| ## Quick start |
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| Python 3.10 or newer; CPU only. No CUDA, Docker, Slurm, model download, or new inference is needed for offline replay. The published run takes roughly 1–2 minutes on the original CPU host; runtime varies by machine. |
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| ```bash |
| python3 -m venv .venv |
| source .venv/bin/activate |
| python -m pip install -e . |
| # Public dataset; no HF login is required. |
| # Replace COMMIT with the full revision in DATA_RELEASE.json: |
| seer-download --revision COMMIT --dest data |
| seer-replay reproduce --data-dir data/replay --output-dir runs/reproduction |
| python tests/check_reproduction.py runs/reproduction |
| ``` |
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| The replay writes `RESULT.json`, independently checked schedules and `VALIDATION.json`, two workload-specific PNG/PDF/SVG plots, and `joint_schedules.csv`. **The same color within a plot means the same complete schedule.** The reproduction test compares all 28 published resource/time/bound/reduction values. |
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| To examine full model/tool logs, add `--with-raw` to the download command. The compact layer is 3.79 MiB compressed (approximately 11 MB unpacked); the original compressed teacher archives are approximately 10.34 GB. See `docs/DATA.md` for contents and exclusions. |
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| ## What was evaluated? |
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| | Workload | Teacher | Scope | Included | |
| |---|---|---|---| |
| | Terminal-Bench 2.1 | TMax-27B, 27B | 89 tasks × 3 seeds | 253 normal trials; 14 execution exceptions separate | |
| | SWE-bench Verified | DeepSWE-Preview, 32B | 500 tasks × 4 attempts | 1,998 generations; 2 infrastructure failures separate | |
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| DeepSWE includes generation only, excluding downstream official grading. TMax includes the recorded trial lifecycle including verifier/teardown. Model mistakes and ordinary step/token limits remain included. Do not directly compare the two lifecycle definitions as if they were identical. |
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| ## What the numbers mean |
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| These are **conditional offline replay estimates of reservations**, not measured utilization or deployed speedups. Per-task durations and internal model-request intervals remain fixed. CPU/RAM are sandbox quotas; waiting sandboxes are assumed to pause/offload with zero cost. GPU-hours count an 8-GPU service while any model request is pending. Storage covers only shared compressed OCI image blobs, not total disk or RAM-offload storage. |
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| Each objective is optimized separately, subject to completion no later than FIFO and unchanged resource caps. CPU/RAM attain analytical minima in this model. GPU/cache results are the best feasible schedules found, not globally proven minima. See `docs/METHODS.md` and `docs/HANDOFF.md` before extending the results. |
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| ## Results retained for handoff |
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| | Workload / objective | Resource-hours | Completion (min) | FIFO deadline (min) | |
| |---|---:|---:|---:| |
| | TMax CPU | 19.8786 core-h | 110.3300 | 132.8094 | |
| | TMax RAM | 54.0641 GiB-h | 110.3300 | 132.8094 | |
| | TMax GPU | 14.3611 GPU-h | 129.2053 | 132.8094 | |
| | DeepSWE CPU | 148.0393 core-h | 1,311.4622 | 1,352.9339 | |
| | DeepSWE RAM | 592.1572 GiB-h | 1,311.4622 | 1,352.9339 | |
| | DeepSWE GPU | 173.2963 GPU-h | 1,311.8427 | 1,352.9339 | |
| | DeepSWE image cache | 180.1541 GiB-h | 1,313.4180 | 1,352.9339 | |
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| CPU/RAM minima coexist with every selected oracle schedule. TMax's GPU schedule achieves all three measured minima together. DeepSWE's GPU and cache best-found values belong to different schedules; read `joint_schedules.csv` for simultaneously attained values. |
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| ## Repository map |
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| - `src/seer_replay/search.py`: admission scheduling, objective accounting, seeded order search. |
| - `refine_storage.py`: additional shared-image task grouping search. |
| - `validate.py`: independent scalar interval-union and capacity/deadline validation. |
| - `plot_schedules.py`: complete-schedule comparisons, independent workload axes. |
| - `download.py`: pinned HF download and SHA256 verification. |
| - `provenance/original-analysis/`: original scripts, retained for audit; not portable entrypoints. |
| - `docs/`: workload configuration, schema, assumptions, next experiments, team handoff. |
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| No credentials, unrelated Codex conversation, model weights, Docker images, or Python environments are part of this project. No new benchmark/training jobs are started by these commands. |
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