From dc801c07cf38b0c495686463e6ca6f871a64440e Mon Sep 17 00:00:00 2001 From: YurenHao0426 Date: Tue, 27 Jan 2026 09:57:37 -0600 Subject: Add collaborativeagents module and update gitignore - Add collaborativeagents subproject with adapters, agents, and evaluation modules - Update .gitignore to exclude large binary files (.whl, .tar), wandb logs, and results Co-Authored-By: Claude Opus 4.5 --- collaborativeagents/scripts/test_parallel_vllm.sh | 205 ++++++++++++++++++++++ 1 file changed, 205 insertions(+) create mode 100755 collaborativeagents/scripts/test_parallel_vllm.sh (limited to 'collaborativeagents/scripts/test_parallel_vllm.sh') diff --git a/collaborativeagents/scripts/test_parallel_vllm.sh b/collaborativeagents/scripts/test_parallel_vllm.sh new file mode 100755 index 0000000..0cd0f1f --- /dev/null +++ b/collaborativeagents/scripts/test_parallel_vllm.sh @@ -0,0 +1,205 @@ +#!/bin/bash +# Test parallel vLLM processing on H200x8-interactive +# Usage: Run this on an interactive H200 node +# +# srun --account=bfqt-delta-gpu --partition=gpuH200x8-interactive \ +# --nodes=1 --gpus-per-node=4 --time=02:00:00 --mem=200G --pty bash +# cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents +# bash scripts/test_parallel_vllm.sh + +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}" + +# Configuration +MODEL_70B_AWQ="hugging-quants/Meta-Llama-3.1-70B-Instruct-AWQ-INT4" +MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct" +PORT_70B=8004 +PORT_8B=8003 + +echo "============================================" +echo "Parallel vLLM Experiment Test" +echo "============================================" +echo "Date: $(date)" +echo "Node: $(hostname)" +echo "" + +echo "=== GPU Info ===" +nvidia-smi --query-gpu=index,name,memory.total,memory.free --format=csv +echo "" + +# Kill any existing vLLM servers +echo "Cleaning up any existing vLLM servers..." +pkill -f "vllm.entrypoints" 2>/dev/null || true +sleep 2 + +echo "============================================" +echo "Starting vLLM Servers" +echo "============================================" + +# Start 70B AWQ server on GPU 0-1 (needs 2 GPUs for tensor parallelism) +echo "" +echo "Starting 70B AWQ vLLM Server (GPU 0-1, TP=2)..." +CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \ + --model $MODEL_70B_AWQ \ + --port $PORT_70B \ + --tensor-parallel-size 2 \ + --gpu-memory-utilization 0.90 \ + --max-model-len 4096 \ + --disable-log-requests \ + --quantization awq \ + --dtype float16 & +SERVER_70B_PID=$! +echo "70B Server PID: $SERVER_70B_PID" + +# Start 8B server on GPU 2 +echo "" +echo "Starting 8B vLLM Server (GPU 2)..." +CUDA_VISIBLE_DEVICES=2 python -m vllm.entrypoints.openai.api_server \ + --model $MODEL_8B \ + --port $PORT_8B \ + --gpu-memory-utilization 0.90 \ + --max-model-len 4096 \ + --disable-log-requests \ + --dtype bfloat16 & +SERVER_8B_PID=$! +echo "8B Server PID: $SERVER_8B_PID" + +echo "" +echo "Waiting for servers to start..." + +# Wait for 70B (may take 3-5 minutes) +for i in $(seq 1 120); do + if curl -s http://localhost:$PORT_70B/health > /dev/null 2>&1; then + echo "70B Server ready after $((i*3)) seconds" + break + fi + if [ $((i % 20)) -eq 0 ]; then + echo " Waiting for 70B... ($((i*3)) seconds)" + fi + sleep 3 +done + +# Wait for 8B +for i in $(seq 1 60); do + if curl -s http://localhost:$PORT_8B/health > /dev/null 2>&1; then + echo "8B Server ready after $((i*2)) seconds" + break + fi + sleep 2 +done + +# Check both servers +echo "" +if ! curl -s http://localhost:$PORT_70B/health > /dev/null 2>&1; then + echo "ERROR: 70B server failed to start" + kill $SERVER_70B_PID $SERVER_8B_PID 2>/dev/null + exit 1 +fi +echo "✓ 70B server healthy" + +if ! curl -s http://localhost:$PORT_8B/health > /dev/null 2>&1; then + echo "ERROR: 8B server failed to start" + kill $SERVER_70B_PID $SERVER_8B_PID 2>/dev/null + exit 1 +fi +echo "✓ 8B server healthy" + +echo "" +echo "=== vLLM Server Info ===" +echo "70B model:" +curl -s http://localhost:$PORT_70B/v1/models | python -m json.tool 2>/dev/null | head -10 +echo "" +echo "8B model:" +curl -s http://localhost:$PORT_8B/v1/models | python -m json.tool 2>/dev/null | head -10 + +echo "" +echo "============================================" +echo "Test 1: Sequential Processing (1 profile)" +echo "============================================" + +cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/scripts + +time python run_experiments.py \ + --methods vanilla \ + --datasets mmlu \ + --n-profiles 1 \ + --n-sessions 3 \ + --use-vllm \ + --vllm-user-url http://localhost:$PORT_70B/v1 \ + --vllm-agent-url http://localhost:$PORT_8B/v1 \ + --parallel-profiles 1 \ + --output-dir ../results/parallel_test_seq \ + --profile-path ../data/complex_profiles_v2/profiles_100.jsonl + +echo "" +echo "============================================" +echo "Test 2: Parallel Processing (4 profiles)" +echo "============================================" + +time python run_experiments.py \ + --methods vanilla \ + --datasets mmlu \ + --n-profiles 4 \ + --n-sessions 3 \ + --use-vllm \ + --vllm-user-url http://localhost:$PORT_70B/v1 \ + --vllm-agent-url http://localhost:$PORT_8B/v1 \ + --parallel-profiles 4 \ + --output-dir ../results/parallel_test_4 \ + --profile-path ../data/complex_profiles_v2/profiles_100.jsonl + +echo "" +echo "============================================" +echo "Test 3: Parallel Processing (8 profiles)" +echo "============================================" + +time python run_experiments.py \ + --methods vanilla \ + --datasets mmlu \ + --n-profiles 8 \ + --n-sessions 3 \ + --use-vllm \ + --vllm-user-url http://localhost:$PORT_70B/v1 \ + --vllm-agent-url http://localhost:$PORT_8B/v1 \ + --parallel-profiles 8 \ + --output-dir ../results/parallel_test_8 \ + --profile-path ../data/complex_profiles_v2/profiles_100.jsonl + +echo "" +echo "============================================" +echo "Test 4: Parallel Processing (16 profiles)" +echo "============================================" + +time python run_experiments.py \ + --methods vanilla \ + --datasets mmlu \ + --n-profiles 16 \ + --n-sessions 3 \ + --use-vllm \ + --vllm-user-url http://localhost:$PORT_70B/v1 \ + --vllm-agent-url http://localhost:$PORT_8B/v1 \ + --parallel-profiles 16 \ + --output-dir ../results/parallel_test_16 \ + --profile-path ../data/complex_profiles_v2/profiles_100.jsonl + +# Cleanup +echo "" +echo "Cleaning up..." +kill $SERVER_70B_PID $SERVER_8B_PID 2>/dev/null +wait $SERVER_70B_PID $SERVER_8B_PID 2>/dev/null + +echo "" +echo "============================================" +echo "TEST COMPLETE!" +echo "============================================" +echo "" +echo "Compare the timing results above to estimate optimal parallelism." +echo "Expected scaling: Higher parallelism → Higher throughput (until bottleneck)" +echo "" +date -- cgit v1.2.3