title: AttributeError:'Tensor' object has no attribute '_keras_history'
body: <pre><code>Aux_input = Input(shape=(wrd_temp.shape[1],1), dtype='float32')#shape (,200)
  Main_input = Input(shape=(wrdvec.shape[1],),dtype='float32')#shape(,367)
  
  X = Bidirectional(LSTM(20,return_sequences=True))(Aux_input)
  X = Dropout(0.2)(X)
  X = Bidirectional(LSTM(28,return_sequences=True))(X)
  X = Dropout(0.2)(X)
  X = Bidirectional(LSTM(28,return_sequences=False))(X)
  Aux_Output = Dense(Opt_train.shape[1], activation= 'softmax' )(X)#total 22 classes
  
  x = keras.layers.concatenate([Main_input,Aux_Output],axis=1)
  
  x = tf.reshape(x,[1,389,1])#here 389 is the shape of the new input i.e.(
  Main_input+Aux_Output)
  
  x = Bidirectional(LSTM(20,return_sequences=True))(x)
  x = Dropout(0.2)(x)
  x = Bidirectional(LSTM(28,return_sequences=True))(x)
  x = Dropout(0.2)(x)
  x = Bidirectional(LSTM(28,return_sequences=False))(x)
  Main_Output = Dense(Opt_train.shape[1], activation= 'softmax' )(x)
  
  model = Model(inputs=[Aux_input,Main_input], outputs=    [Aux_Output,Main_Output])
  </code></pre>
  
  <p>Error occurs in line declaring the model i.e. model = Model(), here the attribute error has occurred, Also if there is any other mistake in my implementation please do take a not and notify me in the comment section. </p>