code: def _depth(v, divisor=8, min_value=None):
      if min_value is None:
          min_value = divisor
      new_v = max(min_value, int(v + divisor / 2) // divisor * divisor)
      # Make sure that round down does not go down by more than 10%.
      if new_v < 0.9 * v:
          new_v += divisor
      return new_v
  
file_path: keras/keras/applications/mobilenet_v3.py
imports: import warnings
  from keras import backend
  from keras import layers
  from keras.api_export import keras_export
  from keras.applications import imagenet_utils
  from keras.models import Functional
  from keras.ops import operation_utils
  from keras.utils import file_utils
label_desc: Use image node_id 7 for calling a global function with example usage: _depth(v, divisor, min_value) and returns: new_v