code: def is_valid(self, update_num):
      if self.args.target_layers <= 0:
          return False
      return update_num > (
          self.args.soft_update + self.args.anneal_updates
      )
  
file_path: fairseq/examples/latent_depth/latent_depth_src/loss/latent_depth.py
imports: import math
  import torch
  from torch.nn.modules.loss import _Loss
label_desc: Use image node_id 2 for calling the LatentLayersSparsityLoss obj's underlying member method code with example usage: obj.is_valid(update_num) and returns: unknown, False