RuntimeError: weight tensor should be defined either for all or no classes
时间: 2024-04-24 09:24:58 浏览: 37
回答: RuntimeError: weight tensor should be defined either for all or no classes是由于在计算损失函数时,权重张量应该对所有类别进行定义,要么对所有类别进行定义,要么对没有类别进行定义。\[1\]解决办法是,如果是多卡训练,可以采用"SyncBN"方法;如果是单卡训练,可以将type修改为'BN'。另外,还可以检查损失函数的输入和目标张量的维度是否一致,以及检查网络结构中是否有不支持自动混合精度训练的算子,导致出现nan值,最终导致计算loss时报错。\[2\]\[3\]
#### 引用[.reference_title]
- *1* *3* [mmsegmentation修仙之路-bug篇(1)](https://blog.csdn.net/stone_tigerLI/article/details/129063787)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [[torch]create a new criterion(cross entropy)](https://blog.csdn.net/apsvvfb/article/details/71429695)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
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