Files
agentic-kvc/scripts/legacy/run_v2_offload.sh
Gahow Wang 547611e022 scripts: archive obsolete one-off shell/python scripts to legacy/ (D2, D3)
D2: run_benchmark.sh and run_experiments.sh still pass --time-scale and
--max-inflight-sessions to the replayer, but those flags were removed when
the project moved to trace-driven dispatch. The scripts cannot run as-is.

D3: ~25 ad-hoc analyze_* / compare_* / profile_* / final_* scripts and a
handful of single-experiment run_*.sh point at /home/admin/cpfs paths,
deleted output directories, or a sampled trace file that no longer exists.
Keep them in scripts/legacy/ for historical reference; the scripts that
remain in scripts/ (analyze_trace, analyze_breakdown, analyze_cache_hit,
analyze_eviction, compare_results, compute_roofline, sample_trace,
analyze_agentic_patterns, simulate_cache_policies, plus launch_*.sh,
gpu_monitor.sh, bench.sh) cover the current workflow.

Adds scripts/legacy/README.md to document the archival policy.
2026-05-23 20:57:32 +08:00

157 lines
6.1 KiB
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#!/bin/bash
# V2: P2P KV offload — C_s (session-sticky, cached) prefills, D (least-loaded) decodes
# 8 combined instances (all kv_both), no dedicated PS
set -euo pipefail
cd /home/admin/cpfs/wjh/agentic-kv
source .venv/bin/activate
MODEL=/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct
OUTDIR=outputs/v2_offload
cleanup() {
for p in $(ps aux | grep -E 'vllm serve|cache_aware_proxy' | grep -v grep | awk '{print $2}' 2>/dev/null); do kill -9 "$p" 2>/dev/null || true; done
sleep 3
for p in $(fuser /dev/nvidia* 2>/dev/null | tr ' ' '\n' | sort -u | grep -v '^$' || true); do kill -9 "$p" 2>/dev/null || true; done
sleep 5
}
cleanup
mkdir -p "$OUTDIR"
echo "=== Verifying GPUs free ==="
nvidia-smi --query-gpu=index,memory.used --format=csv,noheader
# ---- Launch 8 Combined instances (GPUs 0-7, all kv_both) ----
echo "=== Launching 8 Combined instances ==="
for i in $(seq 0 7); do
echo "Starting C instance $i on GPU $i, port $((8000+i)), bootstrap $((8998+i))"
VLLM_MOONCAKE_BOOTSTRAP_PORT=$((8998+i)) MASTER_PORT=$((29500+i)) CUDA_VISIBLE_DEVICES=$i \
.venv/bin/vllm serve "$MODEL" --host 0.0.0.0 --port $((8000+i)) --tensor-parallel-size 1 \
--trust-remote-code --enable-prefix-caching --enforce-eager \
--dtype auto --gpu-memory-utilization 0.9 --max-model-len 200000 \
--kv-transfer-config '{"kv_connector":"MooncakeConnector","kv_role":"kv_both"}' \
> "$OUTDIR/vllm_$i.log" 2>&1 &
sleep 2
done
# ---- Wait for all instances healthy ----
echo "=== Waiting for all instances to be healthy ==="
for port in $(seq 8000 8007); do
echo -n " Waiting for port $port..."
timeout 600 bash -c "until curl -sf http://127.0.0.1:$port/health > /dev/null 2>&1; do sleep 5; done"
echo " OK"
done
# Wait for bootstrap ports
for bp in $(seq 8998 9005); do
timeout 120 bash -c "until curl -s localhost:$bp/query > /dev/null 2>&1; do sleep 2; done"
done
echo "=== All instances healthy ==="
sleep 5
# ---- Launch Proxy with V2 offload ----
echo "=== Launching cache_aware_proxy with V2 offload ==="
.venv/bin/python scripts/cache_aware_proxy.py \
--combined http://127.0.0.1:8000 http://127.0.0.1:8001 http://127.0.0.1:8002 \
http://127.0.0.1:8003 http://127.0.0.1:8004 http://127.0.0.1:8005 \
http://127.0.0.1:8006 http://127.0.0.1:8007 \
--bootstrap-ports 8998,8999,9000,9001,9002,9003,9004,9005 \
--offload --port 9090 \
> "$OUTDIR/proxy.log" 2>&1 &
PROXY_PID=$!
echo "Proxy PID: $PROXY_PID"
# Wait for proxy ready
echo -n " Waiting for proxy..."
until curl -sf "http://127.0.0.1:9090/stats" > /dev/null 2>&1; do
sleep 2
echo -n "."
done
echo " OK"
# ---- Run benchmark ----
echo "=== Running benchmark: 200 req, time_scale=20, max-inflight-sessions=8 ==="
.venv/bin/python -m replayer --trace traces/sampled_1000req_seed42.jsonl \
--output "$OUTDIR/metrics.jsonl" \
--endpoint http://localhost:9090 --model "$MODEL" \
--time-scale 20 --max-inflight-sessions 8 --request-limit 200 -v
# ---- Save proxy data BEFORE cleanup ----
echo "=== Saving proxy breakdown and stats ==="
curl -sf "http://127.0.0.1:9090/breakdown" > "$OUTDIR/breakdown.json" 2>/dev/null || true
curl -sf "http://127.0.0.1:9090/stats" > "$OUTDIR/stats.json" 2>/dev/null || true
# ---- Quick analysis ----
echo "=== Quick metrics summary ==="
.venv/bin/python -c "
import json
from collections import Counter
rows = [json.loads(l) for l in open('$OUTDIR/metrics.jsonl')]
ok = [r for r in rows if not r.get('error')]
fail = [r for r in rows if r.get('error')]
p = lambda v,q: sorted(v)[min(int(q*len(v)),len(v)-1)] if v else 0
ttfts = sorted([r['ttft_s'] for r in ok if r.get('ttft_s')])
tpots = sorted([r['tpot_s'] for r in ok if r.get('tpot_s') and r['tpot_s']>0])
e2es = sorted([r['latency_s'] for r in ok])
print(f'OK={len(ok)}/{len(rows)} TTFT50={p(ttfts,.5):.3f} TTFT90={p(ttfts,.9):.3f} TPOT90={p(tpots,.9):.4f} E2E50={p(e2es,.5):.3f}')
# Per-class breakdown
for lo,hi,cl in [(0,5000,'WARM'),(5000,20000,'MED'),(20000,200000,'HEAVY')]:
sub = [r for r in ok if lo <= r['input_length'] < hi and r.get('ttft_s')]
if sub:
t = sorted([r['ttft_s'] for r in sub])
tp = sorted([r['tpot_s'] for r in sub if r.get('tpot_s') and r['tpot_s']>0])
e = sorted([r['latency_s'] for r in sub])
print(f' {cl:6s} n={len(sub):3d} TTFT50={p(t,.5):.3f} TTFT90={p(t,.9):.3f} TPOT90={p(tp,.9):.4f} E2E50={p(e,.5):.3f}')
# Route distribution from breakdown
try:
bd = json.load(open('$OUTDIR/breakdown.json'))
rc = Counter(b.get('route_class','') for b in bd)
print(f'\nRoute class distribution:')
for cls, cnt in sorted(rc.items()):
print(f' {cls}: {cnt}')
# Offload timing
offloaded = [b for b in bd if b.get('route_class') == 'HEAVY_OFFLOAD']
if offloaded:
pf = [b['t_prefill_done']-b['t_prefill_sent'] for b in offloaded if b.get('t_prefill_done') and b.get('t_prefill_sent')]
if pf:
pf.sort()
print(f'\nHEAVY_OFFLOAD prefill time: n={len(pf)} p50={p(pf,.5):.2f}s p90={p(pf,.9):.2f}s')
# Offload reasons for HEAVY
heavy = [b for b in bd if b.get('route_class','').startswith('HEAVY')]
reasons = Counter(b.get('offload_reason','') for b in heavy)
if reasons:
print(f'HEAVY offload reasons: {dict(reasons)}')
# Per-instance P and D counts
p_counts = Counter(b.get('p_inst','') for b in bd if b.get('p_inst'))
d_counts = Counter(b.get('d_inst','') for b in bd if b.get('d_inst'))
if p_counts:
print(f'\nP-instance distribution: {dict(p_counts)}')
if d_counts:
print(f'D-instance distribution: {dict(d_counts)}')
except Exception as e:
print(f'Breakdown analysis error: {e}')
if fail:
print(f'\nFailed requests ({len(fail)}):')
for r in fail[:5]:
print(f' input={r[\"input_length\"]} error={r[\"error\"][:80]}')
print()
print('=== Baselines for comparison ===')
print('Phase0A (7C kv_both): OK=198/200 TTFT50=1.073 TPOT90=0.0738 E2E50=5.096')
print('Baseline (8C plain): OK=198/200 TTFT50=1.075 TPOT90=0.0761 E2E50=5.075')
print('PS V1 flexD: OK=172/186 TTFT50=0.978 TPOT90=0.0758 E2E50=5.623')
"
cleanup
echo "=== DONE $(date) ==="