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_quick.sh | 158 +++++++++++++++++++++ 1 file changed, 158 insertions(+) create mode 100755 collaborativeagents/scripts/test_parallel_quick.sh (limited to 'collaborativeagents/scripts/test_parallel_quick.sh') diff --git a/collaborativeagents/scripts/test_parallel_quick.sh b/collaborativeagents/scripts/test_parallel_quick.sh new file mode 100755 index 0000000..8429da7 --- /dev/null +++ b/collaborativeagents/scripts/test_parallel_quick.sh @@ -0,0 +1,158 @@ +#!/bin/bash +# Quick test of parallel vLLM processing on H200x8-interactive +# Simplified version for 1 hour time limit + +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 "Quick Parallel vLLM Test (H200)" +echo "============================================" +date +echo "Node: $(hostname)" +nvidia-smi --query-gpu=index,name,memory.total --format=csv +echo "" + +# Kill any existing vLLM servers +pkill -f "vllm.entrypoints" 2>/dev/null || true +sleep 2 + +# Start 70B AWQ server on GPU 0-1 (TP=2) +echo "Starting 70B AWQ server (GPU 0-1, TP=2)..." +CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \ + --model $MODEL_70B_AWQ \ + --port $PORT_70B \ + --tensor-parallel-size 2 \ + --gpu-memory-utilization 0.90 \ + --max-model-len 4096 \ + --disable-log-requests \ + --quantization awq \ + --dtype float16 & +SERVER_70B_PID=$! + +# Start 8B server on GPU 2 +echo "Starting 8B 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 "Waiting for servers (up to 5 min)..." + +# Wait for servers +for i in $(seq 1 100); do + READY_70B=$(curl -s http://localhost:$PORT_70B/health > /dev/null 2>&1 && echo 1 || echo 0) + READY_8B=$(curl -s http://localhost:$PORT_8B/health > /dev/null 2>&1 && echo 1 || echo 0) + + if [ "$READY_70B" = "1" ] && [ "$READY_8B" = "1" ]; then + echo "Both servers ready after $((i*3)) seconds" + break + fi + if [ $((i % 20)) -eq 0 ]; then + echo " Still waiting... 70B=$READY_70B, 8B=$READY_8B ($((i*3))s)" + fi + sleep 3 +done + +# Check health +if ! curl -s http://localhost:$PORT_70B/health > /dev/null; then + echo "ERROR: 70B server not healthy"; kill $SERVER_70B_PID $SERVER_8B_PID 2>/dev/null; exit 1 +fi +if ! curl -s http://localhost:$PORT_8B/health > /dev/null; then + echo "ERROR: 8B server not healthy"; kill $SERVER_70B_PID $SERVER_8B_PID 2>/dev/null; exit 1 +fi +echo "✓ Both servers healthy" + +cd scripts + +echo "" +echo "============================================" +echo "Running throughput tests..." +echo "============================================" + +# Test 1: Sequential (1 profile, 2 sessions) +echo "" +echo "--- Test 1: Sequential (1 profile) ---" +START=$(date +%s) +python run_experiments.py \ + --methods vanilla \ + --datasets mmlu \ + --n-profiles 1 \ + --n-sessions 2 \ + --use-vllm \ + --vllm-user-url http://localhost:$PORT_70B/v1 \ + --vllm-agent-url http://localhost:$PORT_8B/v1 \ + --parallel-profiles 1 \ + --output-dir ../results/quick_test_1 \ + --profile-path ../data/complex_profiles_v2/profiles_100.jsonl 2>&1 | tail -20 +END=$(date +%s) +echo "Time: $((END-START)) seconds" + +# Test 2: Parallel (4 profiles, 2 sessions each) +echo "" +echo "--- Test 2: Parallel (4 profiles) ---" +START=$(date +%s) +python run_experiments.py \ + --methods vanilla \ + --datasets mmlu \ + --n-profiles 4 \ + --n-sessions 2 \ + --use-vllm \ + --vllm-user-url http://localhost:$PORT_70B/v1 \ + --vllm-agent-url http://localhost:$PORT_8B/v1 \ + --parallel-profiles 4 \ + --output-dir ../results/quick_test_4 \ + --profile-path ../data/complex_profiles_v2/profiles_100.jsonl 2>&1 | tail -20 +END=$(date +%s) +echo "Time: $((END-START)) seconds" + +# Test 3: Parallel (8 profiles, 2 sessions each) +echo "" +echo "--- Test 3: Parallel (8 profiles) ---" +START=$(date +%s) +python run_experiments.py \ + --methods vanilla \ + --datasets mmlu \ + --n-profiles 8 \ + --n-sessions 2 \ + --use-vllm \ + --vllm-user-url http://localhost:$PORT_70B/v1 \ + --vllm-agent-url http://localhost:$PORT_8B/v1 \ + --parallel-profiles 8 \ + --output-dir ../results/quick_test_8 \ + --profile-path ../data/complex_profiles_v2/profiles_100.jsonl 2>&1 | tail -20 +END=$(date +%s) +echo "Time: $((END-START)) seconds" + +# Cleanup +echo "" +echo "Cleaning up..." +kill $SERVER_70B_PID $SERVER_8B_PID 2>/dev/null || true + +echo "" +echo "============================================" +echo "TEST COMPLETE!" +echo "============================================" +echo "" +echo "Summary: Compare timing above" +echo " - Sequential (1 profile): baseline" +echo " - Parallel (4 profiles): should be faster per profile" +echo " - Parallel (8 profiles): should show more speedup" +echo "" +date -- cgit v1.2.3