Keras Python自定义损失函数给出张量(绝对差)的最大值？

import keras.backend as K
from keras.losses import Loss

class MaxAbsLoss(Loss):
    def __init__(self, name='max_abs_loss'):
        super().__init__(name=name)

    def call(self, y_true, y_pred):
        return K.max(K.abs(y_true - y_pred))

from keras.models import Sequential
from keras.layers import Dense

model = Sequential()
model.add(Dense(64, activation='relu', input_dim=100))
model.add(Dense(1, activation='sigmoid'))

model.compile(optimizer='adam', loss=MaxAbsLoss())

# 进行模型训练和评估