old_contents: import tensorflow as tf
  
  class LayerParameter:
      def __init__(self,
              padding='SAME', with_bias=False, with_weight_normalize=False, rectifier=None,
              with_batch_normalize=False, var_device=None, var_scope_default_name=None):
          self.padding = padding
          self.with_bias = with_bias
          self.with_weight_normalize = with_weight_normalize
          self.with_batch_normalize = with_batch_normalize
          self.rectifier = rectifier
          self.var_device = var_device
          self.var_scope_default_name = var_scope_default_name
  
  
new_contents: import tensorflow as tf
  
  class LayerParameter:
      def __init__(self,
              padding='SAME', with_bias=False, with_weight_normalize=False, rectifier=None,
              with_batch_normalize=False, var_device=None, var_scope_default_name=None,
              training=False):
          self.padding = padding
          self.with_bias = with_bias
          self.with_weight_normalize = with_weight_normalize
          self.with_batch_normalize = with_batch_normalize
          self.rectifier = rectifier
          self.var_device = var_device
          self.var_scope_default_name = var_scope_default_name
          self.training=training
  
  
subject: add parameter 'training' to layer parameter class