How to solve it .Error: NotImplementedError: Layer attention has arguments in `__init__` and therefore must override `get_config`.

[Subash Chandra Pakhrin]

Error:

NotImplementedError: Layer attention has arguments in `__init__` and therefore must override `get_config`.

import numpy as np

import tensorflow as tf

from tensorflow.keras.layers import *

from tensorflow.keras.models import *

from tensorflow.keras import backend as K

class attention(Layer):

    

    def __init__(self, return_sequences=True):

        self.return_sequences = return_sequences

        super(attention,self).__init__()

        

    def build(self, input_shape):

        

        self.W=self.add_weight(name="att_weight", shape=(input_shape[-1],1),

                               initializer="normal")

        self.b=self.add_weight(name="att_bias", shape=(input_shape[1],1),

                               initializer="zeros")

        

        super(attention,self).build(input_shape)

        

    def call(self, x):

        

        e = K.tanh(K.dot(x,self.W)+self.b)

        a = K.softmax(e, axis=1)

        output = x*a

        

        if self.return_sequences:

            return output

        

        return K.sum(output, axis=1)

model = Sequential()

model.add(Embedding(batch_size, 21, input_length=x_train.shape[1]))

model.add(Bidirectional(LSTM(128, return_sequences=True,   

                        input_shape=(timesteps, 21),

                        kernel_initializer='he_normal')))

model.add(Dropout(0.5))

model.add(attention(return_sequences=False)) # receive 3D and output 2D

model.add(Dense(2, activation='sigmoid'))

Sincerely Yours, 

Subash Chandra Pakhrin 

PhD Student 
Wichita State University 

Wichita, kansas

[Lance Norskog]

This message is about being able to save and load the model to a disk file. 

Search for 'get_config' here:

https://keras.io/guides/serialization_and_saving/

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Lance Norskog
lance....@gmail.com
Redwood City, CA