custom tensorflow layer that inherits another class












1












$begingroup$


I am trying to make my own custom layer in tensorflow which looks like:



class custom_LSTM(RNN):
# implementation of class


where RNN is another class.



However, to use this custom layer in model it needs to inherit tf.keras.layers.Layer. I am creating models using tf.keras.



Any idea how do I solve this problem?










share|improve this question









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bumped to the homepage by Community 13 hours ago


This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.




















    1












    $begingroup$


    I am trying to make my own custom layer in tensorflow which looks like:



    class custom_LSTM(RNN):
    # implementation of class


    where RNN is another class.



    However, to use this custom layer in model it needs to inherit tf.keras.layers.Layer. I am creating models using tf.keras.



    Any idea how do I solve this problem?










    share|improve this question









    $endgroup$




    bumped to the homepage by Community 13 hours ago


    This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.


















      1












      1








      1





      $begingroup$


      I am trying to make my own custom layer in tensorflow which looks like:



      class custom_LSTM(RNN):
      # implementation of class


      where RNN is another class.



      However, to use this custom layer in model it needs to inherit tf.keras.layers.Layer. I am creating models using tf.keras.



      Any idea how do I solve this problem?










      share|improve this question









      $endgroup$




      I am trying to make my own custom layer in tensorflow which looks like:



      class custom_LSTM(RNN):
      # implementation of class


      where RNN is another class.



      However, to use this custom layer in model it needs to inherit tf.keras.layers.Layer. I am creating models using tf.keras.



      Any idea how do I solve this problem?







      keras tensorflow






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Jan 7 at 13:43









      prs4382prs4382

      163




      163





      bumped to the homepage by Community 13 hours ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.







      bumped to the homepage by Community 13 hours ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
























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          $begingroup$

          Although I'm not an export of RNN's, the following should work given that RNN is inherited from Layer:



          from keras.layers import RNN
          class custom_LSTM(RNN):
          # implementation of class
          ...


          It might be good to provide the smallest piece of code that can reproduce your error.






          share|improve this answer









          $endgroup$













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            1












            $begingroup$

            Although I'm not an export of RNN's, the following should work given that RNN is inherited from Layer:



            from keras.layers import RNN
            class custom_LSTM(RNN):
            # implementation of class
            ...


            It might be good to provide the smallest piece of code that can reproduce your error.






            share|improve this answer









            $endgroup$


















              1












              $begingroup$

              Although I'm not an export of RNN's, the following should work given that RNN is inherited from Layer:



              from keras.layers import RNN
              class custom_LSTM(RNN):
              # implementation of class
              ...


              It might be good to provide the smallest piece of code that can reproduce your error.






              share|improve this answer









              $endgroup$
















                1












                1








                1





                $begingroup$

                Although I'm not an export of RNN's, the following should work given that RNN is inherited from Layer:



                from keras.layers import RNN
                class custom_LSTM(RNN):
                # implementation of class
                ...


                It might be good to provide the smallest piece of code that can reproduce your error.






                share|improve this answer









                $endgroup$



                Although I'm not an export of RNN's, the following should work given that RNN is inherited from Layer:



                from keras.layers import RNN
                class custom_LSTM(RNN):
                # implementation of class
                ...


                It might be good to provide the smallest piece of code that can reproduce your error.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Jan 7 at 13:57









                Laurens MeeusLaurens Meeus

                50929




                50929






























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