code: def variance_loss(self, emb, ref_emb):
      std_emb = torch.sqrt(emb.var(dim=0) + self.eps)
      std_ref_emb = torch.sqrt(ref_emb.var(dim=0) + self.eps)
      return F.relu(1 - std_emb) / 2, F.relu(1 - std_ref_emb) / 2
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/losses/vicreg_loss.py
imports: import torch
  import torch.nn.functional
  from ..utils import common_functions
  from .base_metric_loss_function import BaseMetricLossFunction
label_desc: Use image node_id 4 for calling the VICRegLoss obj's underlying member method code with example usage: obj.variance_loss(emb, ref_emb) and returns: unknown,  unknown