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CompanionGuard-RL/scripts/run_detector.sh

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feat: multi-GPU support for 4x RTX 5090 (PCIe DDP, BF16) Hardware analysis: 4x RTX 5090 32GB without NVLink is fully sufficient. PCIe 5.0 all-reduce overhead <1% of step time for MacBERT-large (340M params). BF16 mixed precision gives ~2x throughput vs FP32 on 5090. Module B (Detector) — full 4-GPU DDP via Accelerate: - DistributedSampler with per-epoch shuffling (correct DDP data split) - BF16 autocast via accelerator.mixed_precision - Gradient accumulation handled by accelerator.accumulate() - Only rank-0 saves checkpoints and logs to wandb - accelerator.gather_for_metrics() for correct multi-GPU validation - per_gpu_batch_size=32, effective_batch = 32×4 = 128 Module C (Intervention) — hybrid parallel strategy: - Stage 1 (BC warm-up): all 4 GPUs via Accelerate DDP TensorDataset broadcast from rank-0 to all processes - Stage 2 (PPO): GPU-0 only — env-agent loop is inherently sequential - Detector preprocessing: distributed across all 4 GPUs via shard split + all_gather_object to collect results on rank-0 Configs updated: detector_config.yaml: per_gpu_batch_size=32, gradient_accumulation_steps=1, mixed_precision=bf16, num_workers=4 intervention_config.yaml: BC per_gpu_batch_size=256, PPO batch_size=256 Launch scripts added: scripts/run_detector.sh — single command: 4-GPU detector training scripts/run_intervention.sh — single command: hybrid BC+PPO training scripts/run_full_pipeline.sh — end-to-end pipeline steps 1-5 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-09 17:56:13 +08:00
#!/bin/bash
# Train Module B (Risk Detector) on 4x RTX 5090.
#
# Usage:
# bash scripts/run_detector.sh
# bash scripts/run_detector.sh --config configs/detector_config.yaml
#
# NVLink not required: DDP communicates via PCIe (sufficient for MacBERT-large).
# Mixed precision: BF16 (native on RTX 5090, ~2x throughput vs FP32).
set -e
CONFIG="${1:---config configs/detector_config.yaml}"
NUM_GPUS=4
echo "=============================================="
echo " CompanionGuard-RL — Module B: Detector"
echo " GPUs : ${NUM_GPUS}x RTX 5090 (PCIe DDP)"
echo " Precision : BF16"
echo " Config : ${CONFIG}"
echo "=============================================="
# Verify GPU count
ACTUAL_GPUS=$(nvidia-smi --query-gpu=name --format=csv,noheader | wc -l)
if [ "$ACTUAL_GPUS" -lt "$NUM_GPUS" ]; then
echo "[WARN] Expected ${NUM_GPUS} GPUs, found ${ACTUAL_GPUS}. Adjusting."
NUM_GPUS=$ACTUAL_GPUS
fi
accelerate launch \
--num_processes=${NUM_GPUS} \
--mixed_precision=bf16 \
--multi_gpu \
scripts/train_detector.py ${CONFIG}