set tensor values for SavedModel












0















I want to use the tensorflow SavedModel api to save a model that can be generically deployed later. But my model uses dropout, which i want to disable when actually predicting with the model. The variable is named keep_probability (i want to set it to 1 when predicting). It doesn't seem possible with tensorflow saved_model.simple_save and I don't understand how to provide them with https://www.tensorflow.org/api_docs/python/tf/saved_model/builder.



What I would like to do (to clarify my question):



simple_save(session,

            export_dir,

            inputs={"x": x},

            static={keep_probability: 1},

            outputs={"z": z})





python tensorflow







share|improve this question



























    0















    I want to use the tensorflow SavedModel api to save a model that can be generically deployed later. But my model uses dropout, which i want to disable when actually predicting with the model. The variable is named keep_probability (i want to set it to 1 when predicting). It doesn't seem possible with tensorflow saved_model.simple_save and I don't understand how to provide them with https://www.tensorflow.org/api_docs/python/tf/saved_model/builder.



    What I would like to do (to clarify my question):



    simple_save(session,
    
            export_dir,
    
            inputs={"x": x},
    
            static={keep_probability: 1},
    
            outputs={"z": z})





    python tensorflow







    share|improve this question

























      0












      0








      0








      I want to use the tensorflow SavedModel api to save a model that can be generically deployed later. But my model uses dropout, which i want to disable when actually predicting with the model. The variable is named keep_probability (i want to set it to 1 when predicting). It doesn't seem possible with tensorflow saved_model.simple_save and I don't understand how to provide them with https://www.tensorflow.org/api_docs/python/tf/saved_model/builder.



      What I would like to do (to clarify my question):



      simple_save(session,
      
            export_dir,
      
            inputs={"x": x},
      
            static={keep_probability: 1},
      
            outputs={"z": z})





      python tensorflow







      share|improve this question














      I want to use the tensorflow SavedModel api to save a model that can be generically deployed later. But my model uses dropout, which i want to disable when actually predicting with the model. The variable is named keep_probability (i want to set it to 1 when predicting). It doesn't seem possible with tensorflow saved_model.simple_save and I don't understand how to provide them with https://www.tensorflow.org/api_docs/python/tf/saved_model/builder.



      What I would like to do (to clarify my question):



      simple_save(session,
      
            export_dir,
      
            inputs={"x": x},
      
            static={keep_probability: 1},
      
            outputs={"z": z})





      python tensorflow




      python tensorflow






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 21 '18 at 20:54









      LeanderLeander

      587820




      587820
























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