如何在TF2.0中初始化`tf.Module`中的变量

import tensorflow as tf

class MyModule(tf.Module):
    def __init__(self):
        super(MyModule, self).__init__()
        self.variable = tf.Variable(initial_value=tf.zeros(shape=(10,)), name='my_variable')

my_module = MyModule()

tf.keras.backend.get_session().run(tf.compat.v1.global_variables_initializer())

import tensorflow as tf

class MyModule(tf.Module):
    def __init__(self):
        super(MyModule, self).__init__()
        self.variable = tf.Variable(initial_value=tf.zeros(shape=(10,)), name='my_variable')

my_module = MyModule()
tf.keras.backend.get_session().run(tf.compat.v1.global_variables_initializer())