Load TensorFlow model from memory











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Im am running TensorFlow inference in Java and I want to load the model from memory (since I already have it in memory).



Right now I am using the SavedModelBundle.load() method (https://www.tensorflow.org/api_docs/java/reference/org/tensorflow/SavedModelBundle.html#load(java.lang.String,%20java.lang.String...)) that requires the model to be on disk in an exportDir.



Is there a functionality to read the model from memory (InputStream or byte)?



I am using TensorFlow for Java 1.8.0 but I can use the latest stable. Also a solution with Python is feasible.



Thanks.






java python tensorflow







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    up vote
    0
    down vote

    favorite












    Im am running TensorFlow inference in Java and I want to load the model from memory (since I already have it in memory).



    Right now I am using the SavedModelBundle.load() method (https://www.tensorflow.org/api_docs/java/reference/org/tensorflow/SavedModelBundle.html#load(java.lang.String,%20java.lang.String...)) that requires the model to be on disk in an exportDir.



    Is there a functionality to read the model from memory (InputStream or byte)?



    I am using TensorFlow for Java 1.8.0 but I can use the latest stable. Also a solution with Python is feasible.



    Thanks.






    java python tensorflow







    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Im am running TensorFlow inference in Java and I want to load the model from memory (since I already have it in memory).



      Right now I am using the SavedModelBundle.load() method (https://www.tensorflow.org/api_docs/java/reference/org/tensorflow/SavedModelBundle.html#load(java.lang.String,%20java.lang.String...)) that requires the model to be on disk in an exportDir.



      Is there a functionality to read the model from memory (InputStream or byte)?



      I am using TensorFlow for Java 1.8.0 but I can use the latest stable. Also a solution with Python is feasible.



      Thanks.






      java python tensorflow







      share|improve this question













      Im am running TensorFlow inference in Java and I want to load the model from memory (since I already have it in memory).



      Right now I am using the SavedModelBundle.load() method (https://www.tensorflow.org/api_docs/java/reference/org/tensorflow/SavedModelBundle.html#load(java.lang.String,%20java.lang.String...)) that requires the model to be on disk in an exportDir.



      Is there a functionality to read the model from memory (InputStream or byte)?



      I am using TensorFlow for Java 1.8.0 but I can use the latest stable. Also a solution with Python is feasible.



      Thanks.






      java python tensorflow




      java python tensorflow






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 13 at 9:20









      alex

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