TypeError: __init__() missing 1 required positional argument: 'name'

[vamsireddy01]

Hi while working East model, I have the following issue with adamw.py

Error I am getting is:
**super(AdamW, self).init(kwargs)
TypeError: init() missing 1 required positional argument: 'name'

Code is as below:
class AdamW(Optimizer):
"""Adam optimizer.
Default parameters follow those provided in the original paper.
# Arguments
lr: float >= 0. Learning rate.
beta_1: float, 0 < beta < 1. Generally close to 1.
beta_2: float, 0 < beta < 1. Generally close to 1.
epsilon: float >= 0. Fuzz factor.
decay: float >= 0. Learning rate decay over each update.
weight_decay: float >= 0. Decoupled weight decay over each update.
# References
- Adam - A Method for Stochastic Optimization
- Optimization for Deep Learning Highlights in 2017
- Fixing Weight Decay Regularization in Adam
"""

def __init__(self,lr=0.001, beta_1=0.9, beta_2=0.999, weight_decay=1e-4, epsilon=1e-8, decay=0., **kwargs):
    super(AdamW, self).__init__(**kwargs)
    with K.name_scope(self.__class__.__name__):
        self.iterations = K.variable(0, dtype='int64', name='iterations')
        self.lr = K.variable(lr, name='lr')
        self.beta_1 = K.variable(beta_1, name='beta_1')
        self.beta_2 = K.variable(beta_2, name='beta_2')
        self.decay = K.variable(decay, name='decay')
        self.wd = K.variable(weight_decay, name='weight_decay') # decoupled weight decay (2/4)
    self.epsilon = epsilon

[zhenglinghan]

I meet a same problem ,does any one have any ideas?