code: def build_multi_input_dict(
      dims: Sequence[Sequence[int]],
  ) -> Dict[str, torch.Tensor]:
      """build multi input dictionary"""
      input_dict = dict()
      for i, d in enumerate(dims):
          input_dict["in_key_{}".format(i)] = build_input_tensor(d)
      return input_dict
  
imports: from typing import Sequence, Dict
  import numpy
  import torch
label_desc: Use image node_id 3 for calling a global function with example usage: build_multi_input_dict(dims) and returns: input_dict