code: def entropy_logits_loss(linear_output):
      """Computes entropy logits loss in semi-supervised or few-shot domain adaptation
  
      Examples:
          See FewShotDANNTrainer in kale.pipeline.domain_adapter
      """
      return torch.mean(entropy_logits(linear_output))
  
file_path: pykale/kale/predict/losses.py
imports: import torch
  import torch.nn
  from torch.autograd import grad
  from torch.nn import functional
label_desc: Use image node_id 5 for calling a global function with example usage: entropy_logits_loss(linear_output) and returns: torch