🧹 extra normalizing code

labml_nn/gan/cycle_gan.py

@@ -652,7 +652,7 @@ def sample():
     conf_dict = experiment.load_configs(trained_run_uuid)
     # Calculate configurations. We specify the generators `'generator_xy', 'generator_yx'`
     # so that it only loads those and their dependencies.
-    # Configs like `device`, `img_height` and `img_width` will be calculated since these are required by
+    # Configs like `device` and `img_channels` will be calculated since these are required by
     # `generator_xy` and `generator_yx`.
     #
     # If you want other parameters like `dataset_name` you should specify them here.
@@ -684,7 +684,7 @@ def sample():
         # Load dataset
         dataset = ImageDataset(images_path, transforms_, True, 'train')
         # Get an images from dataset
-        x_image = dataset[0]['x']
+        x_image = dataset[10]['x']
         # Display the image
         plot_image(x_image)
 
@@ -698,10 +698,6 @@ def sample():
             data = x_image.unsqueeze(0).to(conf.device)
             generated_y = conf.generator_xy(data)
 
-        # Normalize the image
-        mm_range = generated_y.min(), generated_y.max()
-        generated_y = (generated_y - mm_range[0]) / (mm_range[1] - mm_range[0] + 1e-5)
-
         # Display the generated image.
         plot_image(generated_y[0].cpu())