Creating a module from a trained Tensorflow Estimator










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I wrote a custom estimator and liked to do following:



  1. Train the estimator as usual


  2. Be able to use the trained variables to make predictions and calculations etc. and store this functionality into a Tensorflow module for easy reuse.


However, I'm a bit lost how to do that and more importantly what the intended way is to save such module.



I know how to create a module which uses constants (but no variables from the estimator graph), e.g., like here.



The problem is that the module_fn is called at a later point.
Now, I could load the latest checkpoint of the estimator graph form disk in the module_fn (see here) but I wonder if there is a more logical way to do this. For instance, what exactly is the purpose of LatestModuleExporter , or is this intended to be used with canned instead of custom estimators?










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    0















    I wrote a custom estimator and liked to do following:



    1. Train the estimator as usual


    2. Be able to use the trained variables to make predictions and calculations etc. and store this functionality into a Tensorflow module for easy reuse.


    However, I'm a bit lost how to do that and more importantly what the intended way is to save such module.



    I know how to create a module which uses constants (but no variables from the estimator graph), e.g., like here.



    The problem is that the module_fn is called at a later point.
    Now, I could load the latest checkpoint of the estimator graph form disk in the module_fn (see here) but I wonder if there is a more logical way to do this. For instance, what exactly is the purpose of LatestModuleExporter , or is this intended to be used with canned instead of custom estimators?










    share|improve this question


























      0












      0








      0








      I wrote a custom estimator and liked to do following:



      1. Train the estimator as usual


      2. Be able to use the trained variables to make predictions and calculations etc. and store this functionality into a Tensorflow module for easy reuse.


      However, I'm a bit lost how to do that and more importantly what the intended way is to save such module.



      I know how to create a module which uses constants (but no variables from the estimator graph), e.g., like here.



      The problem is that the module_fn is called at a later point.
      Now, I could load the latest checkpoint of the estimator graph form disk in the module_fn (see here) but I wonder if there is a more logical way to do this. For instance, what exactly is the purpose of LatestModuleExporter , or is this intended to be used with canned instead of custom estimators?










      share|improve this question
















      I wrote a custom estimator and liked to do following:



      1. Train the estimator as usual


      2. Be able to use the trained variables to make predictions and calculations etc. and store this functionality into a Tensorflow module for easy reuse.


      However, I'm a bit lost how to do that and more importantly what the intended way is to save such module.



      I know how to create a module which uses constants (but no variables from the estimator graph), e.g., like here.



      The problem is that the module_fn is called at a later point.
      Now, I could load the latest checkpoint of the estimator graph form disk in the module_fn (see here) but I wonder if there is a more logical way to do this. For instance, what exactly is the purpose of LatestModuleExporter , or is this intended to be used with canned instead of custom estimators?







      tensorflow tensorflow-estimator






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      edited Nov 15 '18 at 11:45









      alepuzio

      1,20122632




      1,20122632










      asked Nov 15 '18 at 10:31









      SoerenSoeren

      11




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