Keras Lambda Layer for calculating temperature in LSTM model












0















I have a problem with Keras Lambda Layers. I'm using Keras functional API to create my model. Also, I'd like to save the model to an h5 file.



It works perfectly with this code:



shared_layer = LSTM(size, return_sequences=True, dropout=self.params['dropout'][0], recurrent_dropout=self.params['dropout'][1])(shared_layer)
output = shared_layer
output = TimeDistributed(Dense(n_class_labels, activation='softmax'), name=modelName+'_softmax')(output)


But if I add the following line I get an error when saving the model. Though it doesn't throw an error when training:



logits_temperature = Lambda(lambda x : x / self.params['temperature'])(output)
output = TimeDistributed(Dense(n_class_labels, activation='softmax'), name=modelName+'_softmax')(logits_temperature)


Here's the error I get when saving:



TypeError: cannot serialize '_io.TextIOWrapper' object










share|improve this question





























    0















    I have a problem with Keras Lambda Layers. I'm using Keras functional API to create my model. Also, I'd like to save the model to an h5 file.



    It works perfectly with this code:



    shared_layer = LSTM(size, return_sequences=True, dropout=self.params['dropout'][0], recurrent_dropout=self.params['dropout'][1])(shared_layer)
    output = shared_layer
    output = TimeDistributed(Dense(n_class_labels, activation='softmax'), name=modelName+'_softmax')(output)


    But if I add the following line I get an error when saving the model. Though it doesn't throw an error when training:



    logits_temperature = Lambda(lambda x : x / self.params['temperature'])(output)
    output = TimeDistributed(Dense(n_class_labels, activation='softmax'), name=modelName+'_softmax')(logits_temperature)


    Here's the error I get when saving:



    TypeError: cannot serialize '_io.TextIOWrapper' object










    share|improve this question



























      0












      0








      0








      I have a problem with Keras Lambda Layers. I'm using Keras functional API to create my model. Also, I'd like to save the model to an h5 file.



      It works perfectly with this code:



      shared_layer = LSTM(size, return_sequences=True, dropout=self.params['dropout'][0], recurrent_dropout=self.params['dropout'][1])(shared_layer)
      output = shared_layer
      output = TimeDistributed(Dense(n_class_labels, activation='softmax'), name=modelName+'_softmax')(output)


      But if I add the following line I get an error when saving the model. Though it doesn't throw an error when training:



      logits_temperature = Lambda(lambda x : x / self.params['temperature'])(output)
      output = TimeDistributed(Dense(n_class_labels, activation='softmax'), name=modelName+'_softmax')(logits_temperature)


      Here's the error I get when saving:



      TypeError: cannot serialize '_io.TextIOWrapper' object










      share|improve this question
















      I have a problem with Keras Lambda Layers. I'm using Keras functional API to create my model. Also, I'd like to save the model to an h5 file.



      It works perfectly with this code:



      shared_layer = LSTM(size, return_sequences=True, dropout=self.params['dropout'][0], recurrent_dropout=self.params['dropout'][1])(shared_layer)
      output = shared_layer
      output = TimeDistributed(Dense(n_class_labels, activation='softmax'), name=modelName+'_softmax')(output)


      But if I add the following line I get an error when saving the model. Though it doesn't throw an error when training:



      logits_temperature = Lambda(lambda x : x / self.params['temperature'])(output)
      output = TimeDistributed(Dense(n_class_labels, activation='softmax'), name=modelName+'_softmax')(logits_temperature)


      Here's the error I get when saving:



      TypeError: cannot serialize '_io.TextIOWrapper' object







      lambda keras lstm layer temperature






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Jan 20 at 10:08









      Tomka Koliada

      320327




      320327










      asked Jan 20 at 9:58









      JurekJurek

      35




      35
























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