code: def __init__(self, net):
      self.net = net
      self.layer_names = net._layer_names
      self.param_dict = {}
      self.processors = {
          "Convolution": self.proc_conv,
          "InnerProduct": self.proc_fc,
          "BatchNorm": self.proc_bn,
          "Scale": self.proc_scale,
      }
  
file_path: tensorpack/tensorpack/utils/loadcaffe.py
imports: import numpy
  import os
  import sys
  from .None import logger
  from .concurrency import subproc_call
  from .fs import download, get_dataset_path
  from .utils import change_env
label_desc: Use image node_id 1 to create a new CaffeLayerProcessor object from inherited base classes: object with example: obj = CaffeLayerProcessor(net)