TensorFlow：模块'__main__'没有属性'main'

Question

I am working on image recognition with Tensorflow following this tutorial https://www.tensorflow.org/tutorials/layers . When I run the first chunk of codes, including "if name == " main ":", I get an error.

if __name__ == "__main__":
  tf.app.run()

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-20-a542ecc63e7e> in <module>()
     12 
     13 if __name__ == "__main__":
---> 14   tf.app.run()

~/anaconda3/lib/python3.6/site-packages/tensorflow/python/platform/app.py in run(main)
     27   f = flags.FLAGS
     28   flags_passthrough = f._parse_flags()
---> 29   main = main or sys.modules['__main__'].main
     30   sys.exit(main(sys.argv[:1] + flags_passthrough))

AttributeError: module '__main__' has no attribute 'main'

What is the problem and how can I solve this?

I am using Python 3.6.2 under Anaconda environment on Jupiter Notebook.

Answer 1

You don't need to use main module checker like this:

if __name__ == "__main__":
  tf.app.run()

If you are on Jupiter notebook. This was probable an error in the documentation. Now you can check and this kind of checker is gone.

You would need to use that as an entry point if you create a python .py script.