code: def test_initialize_alpha_batch(self):
      batch_size = 2
      alpha = torch.rand(batch_size)
      kernel = HammingIMQKernel(
          vocab_size=8, batch_shape=torch.Size([batch_size])
      )
      kernel.initialize(alpha=alpha)
      actual_value = alpha.view_as(kernel.alpha)
      self.assertLess(torch.norm(kernel.alpha - actual_value), 1e-5)
  
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 5 for calling the TestHammingIMQKernel obj's underlying member method code with example usage: obj.test_initialize_alpha_batch() without return types