code: def _conv3x3(channels, stride, in_channels):
      return nn.Conv2D(
          channels,
          kernel_size=3,
          strides=stride,
          padding=1,
          use_bias=False,
          in_channels=in_channels,
      )
  
imports: from __future__ import division
  import os
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
  from mxnet import cpu
label_desc: Use image node_id 1 for calling a global function with example usage: _conv3x3(channels, stride, in_channels) and returns: nn