class_docstr: Build Trunk Blocks for Efficient/Mobile Networks
  
  This ended up being somewhat of a cross between
  https://github.com/tensorflow/tpu/blob/master/models/official/mnasnet/mnasnet_models.py
  and
  https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/maskrcnn_benchmark/modeling/backbone/fbnet_builder.py
class_docstr_tok: ["Build","Trunk","Blocks","for","Efficient\/Mobile","Networks","This","ended","up","being","somewhat","of","a","cross","between","https",":","\/\/github.com\/tensorflow\/tpu\/blob\/master\/models\/official\/mnasnet\/mnasnet_models.py","and","https",":","\/\/github.com\/facebookresearch\/maskrcnn-benchmark\/blob\/master\/maskrcnn_benchmark\/modeling\/backbone\/fbnet_builder.py"]
code: def _round_channels(self, chs):
      return round_channels(
          chs,
          self.channel_multiplier,
          self.channel_divisor,
          self.channel_min,
      )
  
imports: import re
  from copy import deepcopy
  from .conv2d_layers import *
  from geffnet.activations import *
label_desc: Use image node_id 2 for calling the EfficientNetBuilder obj's underlying member method code with example usage: obj._round_channels(chs) and returns: round_channels