class_docstr: Reduce feature maps into a single edge map
class_docstr_tok: ["Reduce","feature","maps","into","a","single","edge","map"]
code: def __init__(self, channels):
      super(MapReduce, self).__init__()
      self.conv = nn.Conv2d(channels, 1, kernel_size=1, padding=0)
      nn.init.constant_(self.conv.bias, 0)
  
imports: import os
  import math
  import torch
  import numpy
  import torch.nn
  import torch.nn.functional
  from typing import Optional
  from cftool.cv import to_uint8
  from ....parameters import OPT
label_desc: Use image node_id 1 to create a new MapReduce object from inherited base classes: nn with example: obj = MapReduce(channels)