code: def _broadcast_dims(*tensors):
      max_dim = max([len(tensor.shape) for tensor in tensors])
      tensors = [
          tensor.view(
              (1,) * (max_dim - len(tensor.shape)) + tensor.shape
          )
          for tensor in tensors
      ]
      return tensors
  
file_path: towhee/towhee/models/vis4mer/utils.py
imports: import torch
  from einops import rearrange
  from scipy import special
  import numpy
  from opt_einsum import contract
  from pykeops.torch import Genred
label_desc: Use image node_id 1 for calling a global function with example usage: _broadcast_dims() and returns: tensors