code: def neg_calc(self, neg_pair_dist, margin):
      return torch.nn.functional.relu(
          self.distance.margin(margin, neg_pair_dist)
      )
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/losses/contrastive_loss.py
imports: import torch
  from ..reducers import AvgNonZeroReducer
  from ..utils import loss_and_miner_utils
  from .generic_pair_loss import GenericPairLoss
label_desc: Use image node_id 5 for calling the ContrastiveLoss obj's underlying member method code with example usage: obj.neg_calc(neg_pair_dist, margin) and returns: torch