code: def variance_with_eps(
      self, pairs, mean_sim, eps, incentivize_increase
  ):
      if incentivize_increase:
          return (1 - eps) * mean_sim - pairs
      return pairs - (1 + eps) * mean_sim
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/losses/intra_pair_variance_loss.py
imports: import torch
  from ..distances import CosineSimilarity
  from ..losses import GenericPairLoss
  from ..utils import loss_and_miner_utils
label_desc: Use image node_id 3 for calling the IntraPairVarianceLoss obj's underlying member method code with example usage: obj.variance_with_eps(pairs, mean_sim, eps, incentivize_increase) and returns: unknown, unknown