code: def _rename_basic_caffe2_alexnet_weights(layer_keys):
      output_keys = []
      for k in layer_keys:
          k = k.replace("norm", "_bn")
          k = k.replace("_bn_b", ".1.bias")
          k = k.replace("_bn_s", ".1.weight")
          k = k.replace("_bn_rm", ".1.running_mean")
          k = k.replace("_bn_riv", ".1.running_var")
          k = k.replace("_b", ".0.bias")
          k = k.replace("_w", ".0.weight")
          k = k.replace("conv1.", "0.")
          k = k.replace("conv2.", "2.")
          k = k.replace("conv3.", "4.")
          k = k.replace("conv4.", "5.")
          k = k.replace("conv5.", "6.")
          k = f"_feature_blocks.{k}"
          output_keys.append(k)
      return output_keys
  
file_path: vissl/extra_scripts/convert_caffe2_to_vissl_alexnet.py
imports: import argparse
  import logging
  import pickle
  import sys
  from collections import OrderedDict
  import numpy
  import torch
  from iopath.common.file_io import g_pathmgr
label_desc: Use image node_id 6 for calling a global function with example usage: _rename_basic_caffe2_alexnet_weights(layer_keys) and returns: output_keys