code: def expand_dims(v, dims):
      """
      Expand the tensor `v` to the dim `dims`.
      Args:
          `v`: a PyTorch tensor with shape [N].
          `dim`: a `int`.
      Returns:
          a PyTorch tensor with shape [N, 1, 1, ..., 1] and the total dimension is `dims`.
      """
      return v[(...,) + (None,) * (dims - 1)]
  
imports: import torch
  import torch.nn.functional
  import math
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling a global function with example usage: expand_dims(v, dims) and returns: v