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| author | YurenHao0426 <blackhao0426@gmail.com> | 2026-01-27 09:57:37 -0600 |
|---|---|---|
| committer | YurenHao0426 <blackhao0426@gmail.com> | 2026-01-27 09:57:37 -0600 |
| commit | dc801c07cf38b0c495686463e6ca6f871a64440e (patch) | |
| tree | 599f03114775921dbc472403c701f4a3a8ea188a /collaborativeagents/scripts/rag_debug_interactive.sbatch | |
| parent | e43b3f8aa36c198b95c1e46bea2eaf3893b13dc3 (diff) | |
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 <noreply@anthropic.com>
Diffstat (limited to 'collaborativeagents/scripts/rag_debug_interactive.sbatch')
| -rw-r--r-- | collaborativeagents/scripts/rag_debug_interactive.sbatch | 87 |
1 files changed, 87 insertions, 0 deletions
diff --git a/collaborativeagents/scripts/rag_debug_interactive.sbatch b/collaborativeagents/scripts/rag_debug_interactive.sbatch new file mode 100644 index 0000000..40a396c --- /dev/null +++ b/collaborativeagents/scripts/rag_debug_interactive.sbatch @@ -0,0 +1,87 @@ +#!/bin/bash +#SBATCH --job-name=rag_debug +#SBATCH --account=bfqt-delta-gpu +#SBATCH --partition=gpuH200x8-interactive +#SBATCH --nodes=1 +#SBATCH --ntasks=1 +#SBATCH --cpus-per-task=32 +#SBATCH --gres=gpu:4 +#SBATCH --mem=200G +#SBATCH --time=00:40:00 +#SBATCH --output=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/rag_debug-%j.out +#SBATCH --error=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/rag_debug-%j.err + +# Debug test on interactive partition: 5 profiles, 15 sessions + +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="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/src:$PYTHONPATH" + +PROFILE_PATH="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/data/complex_profiles_v2/profiles_200.jsonl" +AGENT_MODEL="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct" +USER_MODEL="meta-llama/Llama-3.1-70B-Instruct" + +echo "=== RAG Debug Test (Interactive) ===" +echo "5 profiles, 15 sessions - with debug output" +date + +# Clear empty store +> /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/data/corpora/empty_store/memory_cards.jsonl +rm -f /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/data/corpora/empty_store/memory_embeddings.npy + +# Start vLLM servers +CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \ + --model $USER_MODEL \ + --port 8004 --tensor-parallel-size 2 --gpu-memory-utilization 0.90 \ + --max-model-len 16384 --dtype bfloat16 --download-dir $HF_HOME & + +CUDA_VISIBLE_DEVICES=2,3 python -m vllm.entrypoints.openai.api_server \ + --model $AGENT_MODEL \ + --port 8003 --tensor-parallel-size 2 --gpu-memory-utilization 0.45 \ + --max-model-len 16384 --dtype bfloat16 & + +echo "Waiting for vLLM servers..." +for i in {1..200}; do + if curl -s http://localhost:8004/health > /dev/null 2>&1; then + echo "User simulator ready after $((i*5))s" + break + fi + sleep 5 +done +for i in {1..60}; do + if curl -s http://localhost:8003/health > /dev/null 2>&1; then + echo "Agent ready after $((i*5))s" + break + fi + sleep 5 +done +sleep 5 + +OUTPUT_DIR="../results/rag_debug_$(date +%Y%m%d_%H%M%S)" + +for METHOD in vanilla rag rag_vector; do + echo "" + echo "============================================" + echo "Testing: $METHOD" + echo "============================================" + + # Clear memory store before each method + > /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/data/corpora/empty_store/memory_cards.jsonl + rm -f /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/data/corpora/empty_store/memory_embeddings.npy + + date + python scripts/run_experiments.py --methods $METHOD \ + --datasets math-hard --n-profiles 5 --n-sessions 15 --max-turns 15 \ + --use-vllm --no-batch-processing --parallel-profiles 5 \ + --output-dir $OUTPUT_DIR --profile-path $PROFILE_PATH + + echo "Memory cards: $(wc -l < /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/data/corpora/empty_store/memory_cards.jsonl)" +done + +echo "" +echo "=== Done ===" +date + +pkill -f "vllm.entrypoints" 2>/dev/null || true |
