Does Tensorflow optimize redundancy?











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Example: A TF graph splits into different branches leading to different output layers. After the split different operations are done and then similar ones.



Is it beneficial to concatenate the different branches after the different operations and to continue with a single operation, or can I treat the branches separately for the sake of simplicity without losing performance?






performance tensorflow redundancy







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    down vote

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    Example: A TF graph splits into different branches leading to different output layers. After the split different operations are done and then similar ones.



    Is it beneficial to concatenate the different branches after the different operations and to continue with a single operation, or can I treat the branches separately for the sake of simplicity without losing performance?






    performance tensorflow redundancy







    share|improve this question







    New contributor




    user10687698 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.






















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      up vote
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      down vote

      favorite











      Example: A TF graph splits into different branches leading to different output layers. After the split different operations are done and then similar ones.



      Is it beneficial to concatenate the different branches after the different operations and to continue with a single operation, or can I treat the branches separately for the sake of simplicity without losing performance?






      performance tensorflow redundancy







      share|improve this question







      New contributor




      user10687698 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      Example: A TF graph splits into different branches leading to different output layers. After the split different operations are done and then similar ones.



      Is it beneficial to concatenate the different branches after the different operations and to continue with a single operation, or can I treat the branches separately for the sake of simplicity without losing performance?






      performance tensorflow redundancy




      performance tensorflow redundancy






      share|improve this question







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      user10687698 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







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      share|improve this question




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      asked Nov 21 at 19:46









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