code: def read(self, image_feat_path):
      tmp = load_feat(image_feat_path)
      _, _, c_dim = tmp.shape
      image_feature = torch.from_numpy(np.reshape(tmp, (-1, c_dim)))
      return image_feature, None
  
imports: import math
  import os
  import pickle
  from typing import Any
  import lmdb
  import numpy
  import torch
  from mmf.utils.file_io import PathManager
label_desc: Use image node_id 1 for calling the Dim3FeatureReader obj's underlying member method code with example usage: obj.read(image_feat_path) and returns: image_feature,  None