code: def test_in_out(self):
      # check random input
      dummy_input = T.rand(
          4, 5, 64
      )  # num_speaker x num_utterance x dim
      loss = AngleProtoLoss()
      output = loss.forward(dummy_input)
      assert output.item() >= 0.0
  
      # check all zeros
      dummy_input = T.ones(
          4, 5, 64
      )  # num_speaker x num_utterance x dim
      loss = AngleProtoLoss()
      output = loss.forward(dummy_input)
      assert output.item() >= 0.0
  
      # check speaker loss with orthogonal d-vectors
      dummy_input = T.empty(3, 64)
      dummy_input = T.nn.init.orthogonal_(dummy_input)
      dummy_input = T.cat(
          [
              dummy_input[0].repeat(5, 1, 1).transpose(0, 1),
              dummy_input[1].repeat(5, 1, 1).transpose(0, 1),
              dummy_input[2].repeat(5, 1, 1).transpose(0, 1),
          ]
      )  # num_speaker x num_utterance x dim
      loss = AngleProtoLoss()
      output = loss.forward(dummy_input)
      assert output.item() < 0.005
  
imports: import unittest
  import torch
  from tests import get_tests_input_path
  from TTS.encoder.losses import AngleProtoLoss, GE2ELoss, SoftmaxAngleProtoLoss
  from TTS.encoder.models.lstm import LSTMSpeakerEncoder
  from TTS.encoder.models.resnet import ResNetSpeakerEncoder
label_desc: Use image node_id 1 for calling the AngleProtoLossTests obj's underlying member method code with example usage: obj.test_in_out() without return types