edward
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Write tutorial on how to save and restore both model and the TensorFlow graph
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The process is straightforward. See, e.g., test_saver.py. It's worth having an example that users can build from as a template—either as a tutorial or written as a section in some other location of the docs.
The tutorial should provide links to the following references:
- https://www.tensorflow.org/programmers_guide/variables#saving_and_restoring
- https://www.tensorflow.org/programmers_guide/meta_graph
- https://www.tensorflow.org/programmers_guide/supervisor
Can I try this one?
Sure, feel free. Happy to provide feedback if you want to submit a PR while still unfinished.
actually if one just simply want the coefficient parameter. I think it is faster and much, much much more clean to use the tensorflow save model API.