code: def _get_emissions(self):
      B, T, N = 4, 15, NUM_TOKENS
  
      emissions = torch.rand(B, T, N).cuda()
      emissions = torch.nn.functional.log_softmax(emissions, -1)
  
      return emissions
  
file_path: audio/test/torchaudio_unittest/models/decoder/cuda_ctc_decoder_test.py
imports: import torch
  from torchaudio_unittest.common_utils import get_asset_path, skipIfNoCuCtcDecoder, skipIfNoCuda, TempDirMixin, TorchaudioTestCase
label_desc: Use image node_id 2 for calling the CUCTCDecoderTest obj's underlying member method code with example usage: obj._get_emissions() and returns: emissions