code: def elementwise_margin(logits, label):
      batch_size = logits.size(0)
      topval, topidx = logits.topk(2, dim=1)
      maxelse = (label != topidx[:, 0]).float() * topval[:, 0] + (
          label == topidx[:, 0]
      ).float() * topval[:, 1]
      return maxelse - logits[torch.arange(batch_size), label]
  
imports: import torch
  from torch.nn.modules.loss import _Loss
  from advertorch.utils import clamp
label_desc: Use image node_id 2 for calling a global function with example usage: elementwise_margin(logits, label) and returns: unknown