code: def _get_emissions(self):
      B, T, N = 4, 15, NUM_TOKENS
  
      emissions = torch.rand(B, T, N)
  
      return emissions
  
imports: import itertools
  import torch
  from parameterized import parameterized
  from torchaudio_unittest.common_utils import get_asset_path, skipIfNoCtcDecoder, TempDirMixin, TorchaudioTestCase
label_desc: Use image node_id 4 for calling the CTCDecoderTest obj's underlying member method code with example usage: obj._get_emissions() and returns: emissions