optimizers.py 文件源码

def build(self, step_tensor=None):
        """ build optimizer tensor.

        This method creates the optimizer with specified parameters. It must
        be implemented for every `Optimizer`.

        Arguments:
            step_tensor: `tf.Tensor`. A variable holding the training step.
                Only necessary when optimizer has a learning rate decay.

        """
        raise NotImplementedError