data_loaders/generate_tfr/generate.py [79:89]:
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        img = tf.cast(img, 'float32')
        resolution_log2 = int(np.log2(max_res))
        q_imgs = []
        for lod in range(resolution_log2 - 1):
            if lod:
                img = downsample(img)
            quant = x_to_uint8(img)
            q_imgs.append(quant)
        return q_imgs

    def _parse_image(example):
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data_loaders/generate_tfr/generate.py [109:119]:
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        img = tf.cast(img, 'float32')
        resolution_log2 = int(np.log2(max_res))
        q_imgs = []
        for lod in range(resolution_log2 - 1):
            if lod:
                img = downsample(img)
            quant = x_to_uint8(img)
            q_imgs.append(quant)
        return q_imgs

    def _parse_image(example):
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