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02bdb20 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | #!/bin/bash
# Diagnose why CCD-DS shows no speedup: measure |I^c_t| and the stability rate
# that together decide Eq. (20)'s budget. 3 Trip examples only -- a few GPU minutes.
set -uo pipefail
pip install -q "transformers==4.46.2" "huggingface_hub<1.0" "datasets<4" "accelerate" 2>&1 | tail -1
python -c "
from huggingface_hub import snapshot_download
snapshot_download('ashishk1331/ccd-repro-code', repo_type='dataset', local_dir='/work')"
cd /work && mkdir -p outputs
python scripts/run_eval.py --task trip --method ccd_ds --limit 3 --out outputs/diag_ds.json
python - <<'EOF'
import json
import numpy as np
r = json.load(open("outputs/diag_ds.json"))
print("\n=============== Eq. (20) BUDGET DIAGNOSTICS ===============")
print(f"mean steps {r['mean_steps']:.1f} (uniform baseline = 256) speedup {r['speedup_vs_uniform']:.2f}x")
print(f"fallback steps (|I^c_t| = 0): {r['fallback_steps']}")
ic = np.array(sum(r["ic_sizes"], []))
st = np.array(sum(r["n_stable"], []))
bud = np.array(sum(r["budgets"], []))
print(f"\n|I^c_t| : mean={ic.mean():.2f} hist={np.bincount(ic, minlength=5)[:5]} (V=4)")
print(f"n_stable : mean={st.mean():.2f} hist={np.bincount(st, minlength=5)[:5]}")
print(f"budget : mean={bud.mean():.2f} hist={np.bincount(bud, minlength=5)[:5]}")
nz = ic > 0
print(f"\nAmong steps with |I^c_t|>0: mean |I^c_t| = {ic[nz].mean():.2f}, "
f"mean stable = {st[nz].mean():.2f}, stable fraction = {st[nz].sum()/ic[nz].sum():.3f}")
print("\nIf |I^c_t| is large but n_stable ~ 0, the argmax-stability heuristic is the")
print("bottleneck. If |I^c_t| itself is ~1, the top-V intersection is the bottleneck.")
print("===========================================================")
EOF
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