code: def normalize(net: Tensor, eps: float = 1.0e-10) -> Tensor:
      norm = torch.sqrt(torch.sum(net**2, dim=1, keepdim=True))
      return net / (norm + eps)
  
imports: import torch
  from torch import nn
  from torch import Tensor
  from ..misc.toolkit import download_model
  from ..misc.toolkit import set_requires_grad
  from ..modules.blocks import HijackConv2d
label_desc: Use image node_id 1 for calling a global function with example usage: normalize(net, eps) and returns: unknown