解决：TypeError: embedding(): argument ‘indices‘ (position 2) must be Tensor, not tuple

时间 2021-05-09

标签 debug python pytorch 栏目 CSS 繁體版

原文原文链接

这里需要将注释行取消掉。至于为什么，咱也不懂。因为检查之后发现，传入的数据其实是一个tuple 前面tensor是128组index组成的word_list,后面的tensor是每一句话对应的标签，共128个。所以要将前面的数据拿出来放入模型进行训练，而不是整个tuple。参考：https://blog.csdn.net/aioku/article/details/109367657

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1. TypeError: list indices must be integers or slices, not tuple
2. TypeError: tuple indices must be integers or slices, not str
3. TypeError: conv2d(): argument ‘input‘ (position 1) must be Tensor, not NoneType
4. list indices must be integers or slices, not tuple
5. TypeError: name() argument 1 must be unicode, not str
6. TypeError: write() argument must be str, not bytes
7. TypeError: add() argument after * must be an iterable, not Settings
8. pygame学习异常之TypeError: argument 1 must be 2-item sequence, not int
9. python提示错误TypeError: write() argument must be str, not bytes
10. type object argument after ** must be a mapping, not str

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