code: def get_configuration(opts) -> Dict:
      width_mult = getattr(
          opts, "model.classification.mobilenetv1.width_multiplier", 1.0
      )
  
      def scale_channels(in_channels):
          return make_divisible(
              int(math.ceil(in_channels * width_mult)), 16
          )
  
      config = {
          "conv1_out": scale_channels(32),
          "layer1": {
              "out_channels": scale_channels(64),
              "stride": 1,
              "repeat": 1,
          },
          "layer2": {
              "out_channels": scale_channels(128),
              "stride": 2,
              "repeat": 1,
          },
          "layer3": {
              "out_channels": scale_channels(256),
              "stride": 2,
              "repeat": 1,
          },
          "layer4": {
              "out_channels": scale_channels(512),
              "stride": 2,
              "repeat": 5,
          },
          "layer5": {
              "out_channels": scale_channels(1024),
              "stride": 2,
              "repeat": 1,
          },
      }
      return config
  
imports: import math
  from typing import Dict
  from utils.math_utils import make_divisible
label_desc: Use image node_id 1 for calling a global function with example usage: get_configuration(opts) and returns: config, make_divisible