#!/bin/bash
set -e

export PATH=/opt/conda/bin:$PATH
export LD_LIBRARY_PATH=/opt/conda/lib:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
cd /workspace/bevfusion

echo "Phase 4A: BEV 2x训练 - 启动中..."

# 直接使用python而不是torchpack
nohup python -m torch.distributed.launch --nproc_per_node=6 --master_port=29500 \
    tools/train.py \
    configs/nuscenes/det/transfusion/secfpn/camera+lidar/swint_v0p075/multitask_BEV2X_phase4a.yaml \
    --launcher pytorch \
    --model.encoders.camera.backbone.init_cfg.checkpoint=pretrained/swint-nuimages-pretrained.pth \
    --load_from runs/enhanced_from_epoch19/epoch_23.pth \
    --run-dir runs/phase4a_bev2x \
    > phase4a_bev2x.log 2>&1 &

echo "✅ 训练已启动，PID: $!"
echo "日志: phase4a_bev2x.log"