TypeError: lstm() received an invalid combination of arguments

最新推荐文章于 2024-10-29 19:32:22 发布
最新推荐文章于 2024-10-29 19:32:22 发布
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本文链接：https://blog.youkuaiyun.com/yhoon0101/article/details/131649166
在将PyTorch的LSTM层从低版本更新到高版本后，遇到TypeError，原因是bidirectional参数不应使用int（0或1）表示，而应使用bool（False或True）。这个问题是由于API更改导致的，解决方案是将bidirectional参数的类型从int转换为bool以避免错误。

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TypeError: lstm() received an invalid combination of arguments - got (Tensor, tuple, list, bool, int, float, bool, int, bool), but expected one of:
 * (Tensor data, Tensor batch_sizes, tuple of Tensors hx, tuple of Tensors params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional)
      didn't match because some of the arguments have invalid types: (Tensor, !tuple!, !list!, !bool!, !int!, !float!, !bool!, !int!, bool)
 * (Tensor input, tuple of Tensors hx, tuple of Tensors params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first)
      didn't match because some of the arguments have invalid types: (Tensor, !tuple!, !list!, bool, int, float, bool, !int!, bool)

lstm更新到高版本之后，bidirectional参数不能使用int类型（0或1），要使用bool类型（False或True），要不会报上述错误。

问题解决参考自：Error with LSTM when switching from 0.4 to 1.0 (invalid combination of arguments) - nlp - PyTorch Forums

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