打开各种教程，看到人家用的都是专业级大显存设备。再看看自己的消费级显卡，心里就犯嘀咕：这玩意儿能行吗？直接给可以但你要理解自己的硬件边界，接下来在这个边界内做最优选择。

📋  目录  )  

1. ☎︀  
2. ✍︀  
3. ⚡︀  
4. ⚙︀  
5. ⛆︀  
6. ℹ︀  

•‑. 📈 显示记忆都去哪儿了？训练记忆消耗四大元凶•

很多人以为“模型参数越大。记忆越多”，其实这只是冰山一角。在训练时GPU 的可用内存在以下)：

| 模型参数权重本身 |
 |



存放网络权重


•





| 梯度误差 |
 |



用于反向传播更新权重


•





| 调整器状态 |
 |

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