docstr: Entity feature
  - np.ndarray of shape (num_entities, num_feat_dims)
    i-th row stores the feature of i-th entity
    * Loading everything into memory at once
    * saved in np.float16
docstr_tok: ["Entity","feature","-","np.ndarray","of","shape","(","num_entities",",","num_feat_dims",")","i-th","row","stores","the","feature","of","i-th","entity","*","Loading","everything","into","memory","at","once","*","saved","in","np.float16"]
code: def entity_feat(self) -> np.ndarray:
      """
      Entity feature
      - np.ndarray of shape (num_entities, num_feat_dims)
        i-th row stores the feature of i-th entity
        * Loading everything into memory at once
        * saved in np.float16
      """
      if self._entity_feat is None:
          path = osp.join(self.processed_dir, "entity_feat.npy")
          self._entity_feat = np.load(path, mmap_mode="r")
      return self._entity_feat
  
imports: from typing import Optional, Union, Dict
  import os
  import shutil
  import os.path
  import torch
  import numpy
  import pandas
  from ogb.utils.url import decide_download, download_url, extract_zip, makedirs
label_desc: Use image node_id 6 for calling the WikiKG90MDataset obj's underlying member method code with example usage: obj.entity_feat() and returns: self