code: def depthwise_conv3x3(channels, stride):
      return nn.Conv2d(
          in_channels=channels,
          out_channels=channels,
          kernel_size=3,
          stride=stride,
          padding=1,
          groups=channels,
          bias=False,
      )
  
imports: import numpy
  from torch.autograd import Variable
  from pytorch2keras.converter import pytorch_to_keras
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.nn.init
label_desc: Use image node_id 1 for calling a global function with example usage: depthwise_conv3x3(channels, stride) and returns: nn