import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Dense, Concatenate, add, multiply
from tensorflow.keras import Input
from tensorflow.keras import optimizers
from keras import backend as K
import os_dir = "/content/drive/MyDrive/Neural-Optimization-Machine-NOM-main/problem1/"       
save_model_name = os.path.join(_dir,'problem1_NN objective function.h5')
model = tf.keras.models.load_model(save_model_name, compile=False)

ValueError: Unknown layer: 'TensorFlowOpLayer'. Please ensure you are using a keras.utils.custom_object_scope and that this object is included in the scope. See for details.