Datasets:
Formats:
csv
Languages:
English
Size:
1K - 10K
Tags:
arxiv-artifact
reproducibility
research-artifact
computer-science
computer-logic
formal-methods
License:
| set -euo pipefail | |
| LIMIT="${PCMT_HF_LIMIT:-80}" | |
| REPEATS_DETECTOR="${PCMT_DETECTOR_REPEATS:-4096}" | |
| REPEATS_SWEEP="${PCMT_SWEEP_REPEATS:-16384}" | |
| DATASET="${PCMT_BENCHMARK_DATASET:-youcook2}" | |
| RUN_TAG="${PCMT_RUN_TAG:-benchmark}" | |
| STAMP="$(date -u +%Y%m%dT%H%M%SZ)" | |
| mkdir -p runs | |
| TELEMETRY="runs/gpu_telemetry_${RUN_TAG}_${STAMP}.csv" | |
| LOG="runs/long_${RUN_TAG}_gpu_${STAMP}.log" | |
| exec > >(tee -a "${LOG}") 2>&1 | |
| echo "[pcmt] start ${STAMP}" | |
| echo "[pcmt] dataset=${DATASET} tag=${RUN_TAG} limit=${LIMIT} detector_repeats=${REPEATS_DETECTOR} sweep_repeats=${REPEATS_SWEEP}" | |
| nvidia-smi || true | |
| (nvidia-smi --query-gpu=timestamp,name,utilization.gpu,memory.used,memory.total,temperature.gpu --format=csv -l 2 > "${TELEMETRY}" 2>&1 & echo $! > "runs/gpu_telemetry_${RUN_TAG}.pid") | |
| cleanup() { | |
| if [ -f "runs/gpu_telemetry_${RUN_TAG}.pid" ]; then | |
| kill "$(cat "runs/gpu_telemetry_${RUN_TAG}.pid")" 2>/dev/null || true | |
| fi | |
| } | |
| trap cleanup EXIT | |
| python3 -m pcmt.cli download-benchmark --dataset "${DATASET}" --limit "${LIMIT}" --output "data/benchmark_videos/${DATASET}" | |
| VIDEO_ROOT="data/benchmark_videos/${DATASET}" | |
| COUNT="$(find "${VIDEO_ROOT}" -maxdepth 1 -type f -name '*.mp4' | wc -l | tr -d ' ')" | |
| if [ "${COUNT}" = "0" ]; then | |
| python3 -m pcmt.cli download-benchmark --dataset ave --limit "${LIMIT}" --output data/benchmark_videos/ave | |
| VIDEO_ROOT="data/benchmark_videos/ave" | |
| COUNT="$(find "${VIDEO_ROOT}" -maxdepth 1 -type f -name '*.mp4' | wc -l | tr -d ' ')" | |
| fi | |
| echo "[pcmt] video_root=${VIDEO_ROOT} count=${COUNT}" | |
| python3 -m pcmt.cli run-detector --clips "${COUNT}" --output "runs/${RUN_TAG}-detector-gpu" --video-root "${VIDEO_ROOT}" --use-gpu cuda --stress-repeats "${REPEATS_DETECTOR}" | |
| python3 -m pcmt.cli run-sweep --input-run detector --clips "${COUNT}" --output "runs/${RUN_TAG}-sweep-gpu" --video-root "${VIDEO_ROOT}" --use-gpu cuda --stress-repeats "${REPEATS_SWEEP}" | |
| python3 -m pcmt.cli sweep-figures --traces "runs/${RUN_TAG}-sweep-gpu/sweep_traces.csv" --metrics "runs/${RUN_TAG}-sweep-gpu/sweep_metrics.json" --output figures | |
| echo "[pcmt] finished ${STAMP}" | |
| tail -20 "${TELEMETRY}" || true | |