code: def color_quantize(x, clusters):
      x = x.reshape(-1, 3)
      d = squared_euclidean_distance(x, clusters)
      return np.argmin(d, axis=1)
  
file_path: transformers/src/transformers/models/imagegpt/image_processing_imagegpt.py
imports: from typing import Dict, List, Optional, Union
  import numpy
  from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
  from ...image_transforms import rescale, resize, to_channel_dimension_format
  from ...image_utils import ChannelDimension, ImageInput, PILImageResampling, infer_channel_dimension_format, is_scaled_image, make_list_of_images, to_numpy_array, valid_images
  from ...utils import TensorType, is_vision_available, logging
label_desc: Use image node_id 2 for calling a global function with example usage: color_quantize(x, clusters) and returns: np