171 lines
3.1 KiB
Markdown
171 lines
3.1 KiB
Markdown
# ✅ Task-specific GCA - 最终启动指令
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---
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## 🎯 核心策略
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### Checkpoint部分加载 ✅
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```
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从epoch_5.pth加载已有权重:
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✅ 骨干网络 (Swin Transformer + Sparse Encoder)
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✅ 特征融合 (ConvFuser)
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✅ BEV解码器 (SECOND + SECONDFPN)
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✅ 检测头 (TransFusion)
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✅ 分割头 (EnhancedBEVSeg)
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总计: ~132M参数保留训练成果
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新增模块随机初始化:
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✨ task_gca['object'] (检测GCA，131K参数)
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✨ task_gca['map'] (分割GCA，131K参数)
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总计: ~0.26M参数从头训练
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策略: 使用 --load_from (部分加载，忽略不匹配)
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```
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---
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## 🚀 启动命令
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```bash
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# 在Docker容器内执行
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docker exec -it bevfusion bash
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cd /workspace/bevfusion
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bash START_PHASE4A_TASK_GCA.sh
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```
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输入 `y` 确认启动
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---
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## ✅ 已修复的问题
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```
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1. ✅ torchpack: command not found
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解决: 添加环境变量设置
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2. ✅ pretrained/swint-nuimages-pretrained.pth 找不到
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解决: 从checkpoint恢复无需预训练模型
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3. ✅ 模型结构不匹配
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解决: 使用--load_from部分加载
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```
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---
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## 📊 启动后验证
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### 1. 检查Task-specific GCA启用
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```bash
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tail -f /data/runs/phase4a_stage1_task_gca/*.log | grep "Task-specific"
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```
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应该看到:
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```
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[BEVFusion] ✨✨ Task-specific GCA mode enabled ✨✨
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[object] GCA: params: 131,072
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[map] GCA: params: 131,072
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Total: 262,144
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Advantage: Each task selects features by its own needs ✅
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```
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### 2. 检查权重加载
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```bash
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tail -f /data/runs/phase4a_stage1_task_gca/*.log | grep "load checkpoint"
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```
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应该看到:
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```
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load checkpoint from /workspace/bevfusion/runs/.../epoch_5.pth
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The following keys in model are not found in checkpoint:
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task_gca.object.*
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task_gca.map.*
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✅ 这是正常的！新增模块会随机初始化
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```
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### 3. 监控训练loss
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```bash
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tail -f /data/runs/phase4a_stage1_task_gca/*.log | grep "loss/map/divider"
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```
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---
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## 📈 预期性能
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```
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Epoch 5-10 (前期，task_gca学习期):
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Divider Dice Loss: 0.525 → 0.50
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检测mAP: 保持或略降 (task_gca适应期)
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Epoch 10-15 (中期，性能提升期):
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Divider Dice Loss: 0.50 → 0.45
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检测mAP: 开始提升
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Epoch 15-20 (后期，最优性能):
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Divider Dice Loss: 0.45 → 0.42 ✅
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检测mAP: 0.68 → 0.70 ✅
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分割mIoU: 0.55 → 0.61 ✅
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```
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---
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## 🎯 训练参数
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```
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起始: Epoch 0 (从头开始，让task_gca充分学习)
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目标: Epoch 20
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剩余: 20 epochs
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预计时间: ~9天 (FP32)
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预计完成: 2025-11-15
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```
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---
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## 📁 输出位置
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```
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Checkpoints:
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/data/runs/phase4a_stage1_task_gca/epoch_*.pth
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日志:
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/data/runs/phase4a_stage1_task_gca/*.log
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监控:
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tail -f /data/runs/phase4a_stage1_task_gca/*.log
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```
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---
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## 📝 相关文档
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```
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1. CHECKPOINT_LOADING_STRATEGY.md
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- 详细的部分加载策略说明
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- 权重匹配原理
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- 参数统计
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2. TASK_GCA_完成报告.md
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- 完整实施报告
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- 架构说明
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3. 启动训练_完整步骤.md
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- 详细启动流程
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- 故障排查
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```
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---
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**🎉 所有问题已解决！部分加载策略完美处理模型结构改变！**
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**立即启动**: `bash START_PHASE4A_TASK_GCA.sh`
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