code: def initialize_block_params(block, initializer):
      for _, param in block.collect_params(
          ".*gamma|.*moving_var|.*running_var"
      ).items():
          param.initialize(mx.init.Constant(1))
      for _, param in block.collect_params(
          ".*beta|.*moving_mean|.*running_mean|.*bias"
      ).items():
          param.initialize(mx.init.Constant(0))
      for _, param in block.collect_params(".*weight").items():
          param.initialize(initializer)
  
file_path: mxnet/example/quantization/imagenet_inference.py
imports: import argparse
  import logging
  import time
  import mxnet
  import numpy
  from mxnet import gluon
  from mxnet.gluon.data import DataLoader
  from mxnet.gluon.data.vision import transforms
label_desc: Use image node_id 3 for calling a global function with example usage: initialize_block_params(block, initializer) without return types