utils/gluon/score.py [51:57]:
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                        help='type of model to use. see vision_model for options.')
    parser.add_argument('--ratio', type=float, default=0.,
                        help='percentage of the low frequency part')
    parser.add_argument('--input-size', type=int, default=224,
                        help='size of the input image size. default is 224')
    parser.add_argument('--crop-ratio', type=float, default=0.875,
                        help='Crop ratio during validation. default is 0.875')
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utils/gluon/train_imagenet.py [73:79]:
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                        help='type of model to use. see vision_model for options.')
    parser.add_argument('--ratio', type=float, default=0.,
                        help='percentage of the low frequency part')
    parser.add_argument('--input-size', type=int, default=224,
                        help='size of the input image size. default is 224')
    parser.add_argument('--crop-ratio', type=float, default=0.875,
                        help='Crop ratio during validation. default is 0.875')
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