code: def _data_dep_init(self, inputs):
      
  
      with tf.variable_scope("data_dep_init"):
        # Generate data dependent init values
        activation = self.layer.activation
        self.layer.activation = None
        x_init = self.layer.call(inputs)
        m_init, v_init = tf.moments(x_init, self.norm_axes)
        scale_init = 1. / tf.sqrt(v_init + 1e-10)
  
      # Assign data dependent init values
      self.layer.g = self.layer.g * scale_init
      self.layer.bias = (-m_init * scale_init)
      self.layer.activation = activation
      self.initialized = True
docs: Data dependent initialization for eager execution.