code: def create_seq(self, batch_size, seq_len, vocab_size):
      return torch.randint(0, vocab_size, (batch_size, seq_len))
  
file_path: gpytorch/test/kernels/test_hamming_kernel.py
imports: import pickle
  import unittest
  import torch
  from gpytorch.kernels import HammingIMQKernel
  from gpytorch.priors import GammaPrior
label_desc: Use image node_id 1 for calling the TestHammingIMQKernel obj's underlying member method code with example usage: obj.create_seq(batch_size, seq_len, vocab_size) and returns: torch