Tutorial 1 fails to start training

[Novoneos]

When I am trying to run the first tutorial, the code crashes with

TypeError: make_grid() got an unexpected keyword argument 'range'

when attempting to start the training with trainer(dataloader). I can reproduce this problem with both training runs in Tutorial 1, both locally and in Colab.

To Reproduce
Steps to reproduce the behavior:

1. I get the error locally and via Colab.
2. Logging Configurations

   Saving Model at './model/gan0.model'
   Epoch 1 Summary
   Epoch time duration : 36.603763580322266
   generator Mean Gradients : 4.215454027754042
   discriminator Mean Gradients : 17.446136124523523
   Mean Running Discriminator Loss : 0.036255130790042944
   Mean Running Generator Loss : 0.5807476703609739
   ---------------------------------------------------------------------------
   TypeError                                 Traceback (most recent call last)
   [<ipython-input-26-30fad058137b>](https://localhost:8080/#) in <cell line: 1>()
   ----> 1 trainer(dataloader)
   
   4 frames
   [/usr/local/lib/python3.10/dist-packages/torchgan/trainer/base_trainer.py] 
   (https://localhost:8080/#) in __call__(self, data_loader, **kwargs)
   474     def __call__(self, data_loader, **kwargs):
   475         self.batch_size = data_loader.batch_size
   --> 476         self.train(data_loader, **kwargs)
   
   [/usr/local/lib/python3.10/dist-packages/torchgan/trainer/base_trainer.py] 
   (https://localhost:8080/#) in train(self, data_loader, **kwargs)
   453 
   454             self.eval_ops(**kwargs)
   --> 455             self.logger.run_end_epoch(self, epoch, time.time() - start_time)
   456             self.optim_ops()
   457 
   
   [/usr/local/lib/python3.10/dist-packages/torchgan/logging/logger.py](https://localhost:8080/#) 
   in run_end_epoch(self, trainer, epoch, time_duration, *args)
   143         for logger in self.logger_end_epoch:
   144             if type(logger).__name__ == "ImageVisualize":
    --> 145                 logger(trainer)
   146             elif type(logger).__name__ == "MetricVisualize":
   147                 logger()
   
   [/usr/local/lib/python3.10/dist-packages/torchgan/logging/visualize.py] 
   (https://localhost:8080/#) in __call__(self, trainer, **kwargs)
   495                 with torch.no_grad():
   496                     image = generator(*self.test_noise[pos])
   --> 497                     image = torchvision.utils.make_grid(
   498                         image, nrow=self.nrow, normalize=True, range=(-1, 1)
   499                     )
   
   [/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py](https://localhost:8080/#) in 
   decorate_context(*args, **kwargs)
   113     def decorate_context(*args, **kwargs):
   114         with ctx_factory():
    --> 115             return func(*args, **kwargs)
   116 
   117     return decorate_context
   
   TypeError: make_grid() got an unexpected keyword argument 'range'