docstr: Normalizes a `torch.Tensor` along dimension `dim` without `nan`s.
docstr_tok: ["Normalizes","a","`","torch.Tensor","`","along","dimension","`","dim","`","without","`","nan","`","s","."]
code: def _normalize(self, tensor, dim=-1):
      """
      Normalizes a `torch.Tensor` along dimension `dim` without `nan`s.
      """
      return torch.nan_to_num(
          torch.div(tensor, torch.norm(tensor, dim=dim, keepdim=True))
      )
  
imports: import os.path
  import h5py
  import numpy
  import warnings
  from tqdm import tqdm
  import torch
  import torch.nn.functional
  from torch_geometric.data import Data
  from torch_geometric.data import InMemoryDataset
label_desc: Use image node_id 5 for calling the FOLDdataset obj's underlying member method code with example usage: obj._normalize(tensor, dim) and returns: torch