code: def test_logsumexp(self):
      a = torch.randn(10)  # random numbers
      self.assertTrue(
          torch.eq(
              torch.logsumexp(a, dim=0),
              OverflowUtils.logsumexp(a, dim=0),
          ).all()
      )
  
      a = torch.zeros(10)  # all zeros
      self.assertTrue(
          torch.eq(
              torch.logsumexp(a, dim=0),
              OverflowUtils.logsumexp(a, dim=0),
          ).all()
      )
  
      a = torch.ones(10)  # all ones
      self.assertTrue(
          torch.eq(
              torch.logsumexp(a, dim=0),
              OverflowUtils.logsumexp(a, dim=0),
          ).all()
      )
  
imports: import os
  import random
  import unittest
  from copy import deepcopy
  import torch
  from tests import get_tests_output_path
  from TTS.tts.configs.overflow_config import OverflowConfig
  from TTS.tts.layers.overflow.common_layers import Encoder, Outputnet, OverflowUtils
  from TTS.tts.layers.overflow.decoder import Decoder
  from TTS.tts.layers.overflow.neural_hmm import EmissionModel, NeuralHMM, TransitionModel
  from TTS.tts.models.overflow import Overflow
  from TTS.tts.utils.helpers import sequence_mask
  from TTS.utils.audio import AudioProcessor
label_desc: Use image node_id 1 for calling the TestOverflowUtils obj's underlying member method code with example usage: obj.test_logsumexp() without return types