code: def normalize_tensor(x, eps=1e-8):
      norm_factor = torch.sqrt(
          torch.sum(x**2 + eps, dim=1, keepdim=True)
      )
      return x / (norm_factor)
  
imports: import torch
  from lpips import LPIPS
  from lpips.lpips import spatial_average, upsample
label_desc: Use image node_id 1 for calling a global function with example usage: normalize_tensor(x, eps) and returns: unknown