class_docstr: Custom Converter.
  
  Args:
      subsampling_factor (int): The subsampling factor.
class_docstr_tok: ["Custom","Converter",".","Args",":","subsampling_factor","(","int",")",":","The","subsampling","factor","."]
code: def __init__(self, subsampling_factor=1):
      self.subsampling_factor = subsampling_factor
  
imports: import collections
  import logging
  import math
  import numpy
  from chainer import Variable, cuda, training
  from chainer.training.updaters.multiprocess_parallel_updater import gather_grads, gather_params, scatter_grads
label_desc: Use image node_id 1 to create a new CustomConverter object from inherited base classes: object with example: obj = CustomConverter(subsampling_factor)