text: import torch
  import unittest
  from models import LogCoshVAE
  from torchsummary import summary
  
  
  class TestVAE(unittest.TestCase):
  
      def setUp(self) -> None:
          # self.model2 = VAE(3, 10)
          self.model = LogCoshVAE(3, 10, alpha=10)
  
      def test_summary(self):
          print(summary(self.model, (3, 64, 64), device='cpu'))
          # print(summary(self.model2, (3, 64, 64), device='cpu'))
  
      def test_forward(self):
          x = torch.randn(16, 3, 64, 64)
          y = self.model(x)
          print("Model Output size:", y[0].size())
          # print("Model2 Output size:", self.model2(x)[0].size())
  
      def test_loss(self):
          x = torch.rand(16, 3, 64, 64)
  
          result = self.model(x)
          loss = self.model.loss_function(*result, M_N = 0.005)
          print(loss)
  
  
  if __name__ == '__main__':
      unittest.main()