在keras中，如何将关键字参数传递给损失函数？

def my_loss(y_true, y_pred, weight):
    # 损失函数的定义

model.compile(loss=lambda y_true, y_pred: my_loss(y_true, y_pred, weight=2), optimizer='adam')

from keras.losses import Loss

class MyLoss(Loss):
    def __init__(self, weight):
        super(MyLoss, self).__init__()
        self.weight = weight

    def call(self, y_true, y_pred):
        # 损失函数的定义

loss = MyLoss(weight=2)
model.compile(loss=loss, optimizer='adam')