code: def variance_loss(x: Tensor, eps: float = 0.0001) -> Tensor:
      """Returns VICReg variance loss.
  
      Args:
          x:
              Tensor with shape (batch_size, ..., dim).
          eps:
              Epsilon for numerical stability.
      """
      std = torch.sqrt(x.var(dim=0) + eps)
      loss = torch.mean(F.relu(1.0 - std))
      return loss
  
file_path: lightly/lightly/loss/vicreg_loss.py
imports: import torch
  import torch.distributed
  import torch.nn.functional
  from torch import Tensor
  from lightly.utils.dist import gather
label_desc: Use image node_id 2 for calling a global function with example usage: variance_loss(x, eps) and returns: loss