#!/bin/bash #SBATCH --job-name=seq_exp #SBATCH --account=bfqt-delta-gpu #SBATCH --partition=gpuH200x8 #SBATCH --gres=gpu:4 #SBATCH --nodes=1 #SBATCH --ntasks=1 #SBATCH --cpus-per-task=32 #SBATCH --mem=256G #SBATCH --time=48:00:00 #SBATCH --output=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/seq_exp-%j.out #SBATCH --error=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/seq_exp-%j.err # Full experiment: Sequential methods (rag, rag_vector, contextual, reflection) # These methods require state tracking between sessions # 200 profiles × 30 sessions = 6,000 sessions per method set -e cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents source /u/yurenh2/miniforge3/etc/profile.d/conda.sh conda activate eval export HF_HOME=/projects/bfqt/users/yurenh2/hf_cache/huggingface export PYTHONPATH="${PWD}:${PWD}/../src:${PYTHONPATH}" MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct" PORT_USER=8004 PORT_AGENT=8003 PROFILE_PATH="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/data/complex_profiles_v2/profiles_200.jsonl" echo "============================================" echo "Full Experiment: Sequential Methods" echo "============================================" echo "Methods: rag, rag_vector, contextual, reflection" echo "Profiles: 200" echo "Sessions/profile: 30" echo "Total: 6,000 sessions per method" echo "" date nvidia-smi --query-gpu=index,name,memory.total --format=csv echo "" # Kill any existing servers pkill -f "vllm.entrypoints" 2>/dev/null || true sleep 2 # Start vLLM servers echo "Starting 8B user simulator (GPU 0-1, TP=2)..." CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \ --model $MODEL_8B \ --port $PORT_USER \ --tensor-parallel-size 2 \ --gpu-memory-utilization 0.90 \ --max-model-len 8192 \ --disable-log-requests \ --dtype bfloat16 & SERVER_USER_PID=$! echo "Starting 8B agent (GPU 2-3, TP=2)..." CUDA_VISIBLE_DEVICES=2,3 python -m vllm.entrypoints.openai.api_server \ --model $MODEL_8B \ --port $PORT_AGENT \ --tensor-parallel-size 2 \ --gpu-memory-utilization 0.90 \ --max-model-len 8192 \ --disable-log-requests \ --dtype bfloat16 & SERVER_AGENT_PID=$! echo "Waiting for servers..." for i in $(seq 1 120); do READY_USER=$(curl -s http://localhost:$PORT_USER/health > /dev/null 2>&1 && echo 1 || echo 0) READY_AGENT=$(curl -s http://localhost:$PORT_AGENT/health > /dev/null 2>&1 && echo 1 || echo 0) if [ "$READY_USER" = "1" ] && [ "$READY_AGENT" = "1" ]; then echo "Both servers ready after $((i*3))s" break fi if [ $((i % 20)) -eq 0 ]; then echo " Still waiting... ($((i*3))s)" fi sleep 3 done if ! curl -s http://localhost:$PORT_USER/health > /dev/null; then echo "ERROR: User server not healthy"; kill $SERVER_USER_PID $SERVER_AGENT_PID 2>/dev/null; exit 1 fi if ! curl -s http://localhost:$PORT_AGENT/health > /dev/null; then echo "ERROR: Agent server not healthy"; kill $SERVER_USER_PID $SERVER_AGENT_PID 2>/dev/null; exit 1 fi echo "Both servers healthy" echo "" # Run sequential experiments (all stateful methods) for METHOD in all_memory rag rag_vector contextual reflection; do echo "============================================" echo "Running: $METHOD (SEQUENTIAL processing)" echo "============================================" START=$(date +%s) python scripts/run_experiments.py \ --methods $METHOD \ --datasets math-hard,math-500,bigcodebench \ --n-profiles 200 \ --n-sessions 30 \ --max-turns 15 \ --use-vllm \ --parallel-profiles 10 \ --output-dir ../results/full_experiment_h200 \ --profile-path "$PROFILE_PATH" END=$(date +%s) ELAPSED=$((END-START)) echo "" echo "$METHOD completed in ${ELAPSED}s" if [ $ELAPSED -gt 0 ]; then THROUGHPUT=$((6000 * 3600 / ELAPSED)) echo "Throughput: ${THROUGHPUT} sessions/hr" fi echo "" done # Cleanup echo "Cleaning up..." kill $SERVER_USER_PID $SERVER_AGENT_PID 2>/dev/null || true echo "" echo "============================================" echo "SEQUENTIAL EXPERIMENT COMPLETE" echo "============================================" date