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#!/bin/bash
#SBATCH --job-name=test_real
#SBATCH --account=bfqt-delta-gpu
#SBATCH --partition=gpuH200x8-interactive
#SBATCH --gres=gpu:4
#SBATCH --nodes=1
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=32
#SBATCH --mem=256G
#SBATCH --time=00:30:00
#SBATCH --output=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/test_real-%j.out
#SBATCH --error=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/test_real-%j.err
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}/scripts:${PWD}/../src:${PYTHONPATH}"
MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct"
PROFILE_PATH="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/data/complex_profiles_v2/profiles_200.jsonl"
echo "=== Real Speed Test (5 profiles, 5 sessions) ==="
date
nvidia-smi --query-gpu=index,name,memory.total --format=csv
pkill -f "vllm.entrypoints" 2>/dev/null || true
sleep 2
# Test 1: contextual (vLLM-based)
echo ""
echo "=== TEST 1: contextual (2 vLLM servers) ==="
CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \
--model $MODEL_8B --port 8004 --tensor-parallel-size 2 \
--gpu-memory-utilization 0.90 --max-model-len 8192 \
--disable-log-requests --dtype bfloat16 &
CUDA_VISIBLE_DEVICES=2,3 python -m vllm.entrypoints.openai.api_server \
--model $MODEL_8B --port 8003 --tensor-parallel-size 2 \
--gpu-memory-utilization 0.90 --max-model-len 8192 \
--disable-log-requests --dtype bfloat16 &
for i in $(seq 1 120); do
u=$(curl -s http://localhost:8004/health > /dev/null 2>&1 && echo 1 || echo 0)
a=$(curl -s http://localhost:8003/health > /dev/null 2>&1 && echo 1 || echo 0)
[ "$u" = "1" ] && [ "$a" = "1" ] && echo "Ready after $((i*2))s" && break
sleep 2
done
time python scripts/run_experiments.py \
--methods contextual \
--datasets math-hard \
--n-profiles 5 --n-sessions 5 --max-turns 10 \
--use-vllm --parallel-profiles 5 \
--output-dir ../results/speed_test \
--profile-path "$PROFILE_PATH"
pkill -f "vllm.entrypoints" 2>/dev/null || true
sleep 5
# Test 2: all_memory (vLLM + transformers)
echo ""
echo "=== TEST 2: all_memory (vLLM user + transformers adapter) ==="
CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \
--model $MODEL_8B --port 8004 --tensor-parallel-size 2 \
--gpu-memory-utilization 0.90 --max-model-len 8192 \
--disable-log-requests --dtype bfloat16 &
for i in $(seq 1 120); do
curl -s http://localhost:8004/health > /dev/null 2>&1 && echo "Ready after $((i*2))s" && break
sleep 2
done
CUDA_VISIBLE_DEVICES=2,3 time python scripts/run_experiments.py \
--methods all_memory \
--datasets math-hard \
--n-profiles 5 --n-sessions 5 --max-turns 10 \
--use-vllm --parallel-profiles 5 \
--output-dir ../results/speed_test \
--profile-path "$PROFILE_PATH"
pkill -f "vllm.entrypoints" 2>/dev/null || true
echo ""
echo "=== DONE ==="
date
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