There are two bugs in the transform function in the utils.py

def transform(image, input_height, input_width, resize_height=64, resize_width=64, crop=True):
if crop:
cropped_image = center_crop(image, input_height, input_width, resize_height, resize_width)
else:
im = Image.fromarray(image[j:j+crop_h, i:i+crop_w])
return np.array(im.resize([resize_h, resize_w]), PIL.Image.BILINEAR)/127.5 - 1.

1. if crop,cropped_image doesn't return
2. j,i are not defined

Open utils.py and inspect transform, including its crop and non-crop branches and the call to center_crop. Verify that the crop path returns the cropped result and that the non-crop path does not use undefined j or i values. Done means both branches execute without these errors and produce the intended transformed array.

Written by the indexing model from the issue text.