TypeError: __init__() missing 1 required positional argument: ‘coolant_config‘

···

class PhysicsLoss(tf.keras.losses.Loss):
    def __init__(self, coolant_config, reduction=tf.keras.losses.Reduction.AUTO, name="PhysicsLoss"):
        super().__init__(reduction=reduction, name=name)
        self.coolant = coolant_config
    def get_config(self):
        config = super().get_config()
        config.update({"coolant_config": self.coolant})
        return config

    @classmethod
    def from_config(cls, config):
        coolant_config = config.pop("coolant_config")
        return cls(coolant_config=coolant_config, **config)

    def call(self, y_true, y_pred):
        # 你的损失函数内容不变

在跑DNN写predictor函数的时候遇到的问题，一直有coolant_config无法识别，追溯到keras.tensorflow的loss那里，然后在自己的loss函数中声明一下就好了