code: def _normalize_tensor(in_feat: Tensor, eps: float = 1e-8) -> Tensor:
      """Normalize input tensor."""
      norm_factor = torch.sqrt(
          eps + torch.sum(in_feat**2, dim=1, keepdim=True)
      )
      return in_feat / norm_factor
  
imports: import inspect
  import os
  from typing import List, NamedTuple, Optional, Tuple, Union
  import torch
  from torch import Tensor, nn
  from typing_extensions import Literal
  from torchmetrics.utilities.imports import _TORCHVISION_AVAILABLE, _TORCHVISION_GREATER_EQUAL_0_13
label_desc: Use image node_id 4 for calling a global function with example usage: _normalize_tensor(in_feat, eps) and returns: unknown