报错解决方案1

最新推荐文章于 2025-05-23 12:46:36 发布

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最新推荐文章于 2025-05-23 12:46:36 发布

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文章标签：人工智能深度学习算法 stable diffusion 计算机视觉

本文链接：https://blog.youkuaiyun.com/weixin_44603934/article/details/133044230

文章讲述了在使用TensorFlow时遇到的TypeError，原因在于输入网络时使用了numpy数组而非Tensor。解决方案是将numpy数组转换为Tensor后再进行网络操作。

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遇到报错：TypeError: conv2d() received an invalid combination of arguments - got (numpy.ndarray, Parameter, Parameter, tuple, tuple, tuple, int), but expected one of:
* (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, tuple of ints padding, tuple of ints dilation, int groups)
didn't match because some of the arguments have invalid types: (!numpy.ndarray!, !Parameter!, !Parameter!, !tuple!, !tuple!, !tuple!, int)
* (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, str padding, tuple of ints dilation, int groups)
didn't match because some of the arguments have invalid types: (!numpy.ndarray!, !Parameter!, !Parameter!, !tuple!, !tuple!, !tuple!, int)

一定是你的输入网络的东西是numpy而不是tensor，这时需要把numpy转换成tensor再输入网络即可。