class_docstr: FPN cells.
code: def __init__(self, config, name="fpn_cells"):
      super().__init__(name=name)
      self.config = config
  
      if config.fpn_config:
          self.fpn_config = config.fpn_config
      else:
          self.fpn_config = fpn_configs.get_fpn_config(
              config.fpn_name,
              config.min_level,
              config.max_level,
              config.fpn_weight_method,
          )
  
      self.cells = [
          FPNCell(self.config, name="cell_%d" % rep)
          for rep in range(self.config.fpn_cell_repeats)
      ]
  
imports: import functools
  from absl import logging
  import numpy
  import tensorflow
  import utils
  from .None import fpn_configs
label_desc: Use image node_id 1 to create a new FPNCells object from inherited base classes: tf.keras.layers with example: obj = FPNCells(config, name)