tensorflow.python.framework.errors_impl.FailedPreconditionError: ./output1 is not a directory

This error message indicates that Tensorflow was unable to find the directory "./output1". This may be due to a typo or because the directory does not exist in the specified path.

To resolve this issue, you can check the path and spelling of the directory, and make sure it exists or create it if it does not. You can also try specifying a full path instead of a relative path to ensure that Tensorflow can locate the directory.

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tensorflow.python.framework.errors_impl.FailedPreconditionError: ./output is not a directory

This error occurs when TensorFlow tries to access a directory that does not exist or is not a directory.

To fix this error, you need to create the directory or ensure that the path to the directory is correct.

You can create the directory using the following command in the command line or terminal:

mkdir output

If the directory already exists, make sure that you are using the correct path to the directory in your code.

tensorflow.python.framework.errors_impl.FailedPreconditionError: ./model is not a directory

这个错误提示显示你指定的路径 "./model" 不是一个目录，而是一个文件。

请检查指定路径是否正确，并确保该路径是一个目录。如果该路径不存在，请创建一个目录。你可以使用以下命令来创建一个目录：

mkdir model

如果该路径存在但不是一个目录，请将其更改为目录。你可以使用以下命令将其更改为目录：

mv ./model ./model_backup
mkdir model

这将把现有的 "./model" 文件夹备份到 "./model_backup"，并创建一个新的 "./model" 目录。然后你可以将你的模型文件保存到新创建的 "./model" 目录中。