ensorflow.python.framework.errors_impl.FailedPreconditionError: output is not a directory

This error occurs when TensorFlow is unable to create a directory because the path specified already exists as a file or is not a directory.

To fix this error, you should check the path you are providing as the output directory and ensure that it does not already exist as a file. If it is a file, you should delete it or rename it to a different file name.

You can also try specifying a different output directory path to avoid this error.

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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: ./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.