code: def multiplicative_inverse(a, n):
      """Multiplicative inverse of a modulo n.
      Args:
          a: Tensor of shape [..., vocab_size]. It denotes an integer in the one-hot
          space.
          n: int Tensor of shape [...].
      Returns:
          Tensor of same shape and dtype as a.
      """
  
      vocab_size = a.shape[-1]
      sparse_a = torch.argmax(a, dim=-1)
      sparse_outputs = torch.tensor(
          py_multiplicative_inverse(sparse_a, n)
      )
      z = one_hot(sparse_outputs, vocab_size)
      return z
  
file_path: DIG/dig/ggraph/method/GraphDF/model/df_utils.py
imports: import sys
  import warnings
  import torch
  import torch.nn.functional
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: multiplicative_inverse(a, n) and returns: z