summaryrefslogtreecommitdiff
path: root/collaborativeagents/scripts/test_rag_empty_v3.sbatch
diff options
context:
space:
mode:
Diffstat (limited to 'collaborativeagents/scripts/test_rag_empty_v3.sbatch')
-rw-r--r--collaborativeagents/scripts/test_rag_empty_v3.sbatch110
1 files changed, 110 insertions, 0 deletions
diff --git a/collaborativeagents/scripts/test_rag_empty_v3.sbatch b/collaborativeagents/scripts/test_rag_empty_v3.sbatch
new file mode 100644
index 0000000..db9bd5c
--- /dev/null
+++ b/collaborativeagents/scripts/test_rag_empty_v3.sbatch
@@ -0,0 +1,110 @@
+#!/bin/bash
+#SBATCH --job-name=rag_empty
+#SBATCH --account=bfqt-delta-gpu
+#SBATCH --partition=gpuH200x8
+#SBATCH --nodes=1
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=32
+#SBATCH --gres=gpu:4
+#SBATCH --mem=200G
+#SBATCH --time=03:00:00
+#SBATCH --output=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/rag_empty-%j.out
+#SBATCH --error=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/rag_empty-%j.err
+
+# Test RAG with EMPTY memory store using previous working settings
+# 4 GPUs, TP=2 for both models (same as smallscale_test.sbatch)
+
+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 Empty Memory Store Test ==="
+echo "Using previous working settings (4 GPUs, TP=2)"
+echo "Settings: 5 profiles, 15 sessions each"
+date
+
+# Clear empty store
+echo "Clearing empty memory 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 (same settings as smallscale_test.sbatch)
+# User simulator on GPUs 0,1 (70B, TP=2)
+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 &
+
+# Agent on GPUs 2,3 (8B, TP=2, lower memory for embedding/reranker)
+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 &
+
+# Wait for servers
+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 (8004) ready after $((i*5)) seconds"
+ 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 (8003) ready after $((i*5)) seconds"
+ break
+ fi
+ sleep 5
+done
+echo "Both vLLM servers ready"
+sleep 10
+
+OUTPUT_DIR="../results/rag_empty_test_$(date +%Y%m%d_%H%M%S)"
+
+for METHOD in vanilla rag rag_vector; do
+ echo ""
+ echo "============================================"
+ echo "Testing method: $METHOD"
+ echo "============================================"
+
+ # Clear memory store before each method for fair comparison
+ > /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
+ echo "Memory store cleared for $METHOD"
+
+ date
+ START=$(date +%s)
+
+ 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 $PROFILE_PATH
+
+ END=$(date +%s)
+ ELAPSED=$((END-START))
+
+ if [[ "$METHOD" == "rag" || "$METHOD" == "rag_vector" ]]; then
+ CARD_COUNT=$(wc -l < /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/data/corpora/empty_store/memory_cards.jsonl 2>/dev/null || echo 0)
+ echo "Memory cards accumulated: $CARD_COUNT"
+ fi
+
+ if [ $? -eq 0 ]; then
+ echo "Method $METHOD: SUCCESS (${ELAPSED}s)"
+ else
+ echo "Method $METHOD: FAILED after ${ELAPSED}s"
+ fi
+done
+
+echo ""
+echo "=== Test Complete ==="
+echo "Results: $OUTPUT_DIR"
+date
+
+pkill -f "vllm.entrypoints" 2>/dev/null || true