class_docstr: conv_dw in MobileNet
class_docstr_tok: ["conv_dw","in","MobileNet"]
code: def __init__(
      self,
      in_channels,
      out_channels,
      stride,
      norm_layer=nn.BatchNorm2d,
      **kwargs,
  ):
      super(_DepthwiseConv, self).__init__()
      self.conv = nn.Sequential(
          _ConvBNReLU(
              in_channels,
              in_channels,
              3,
              stride,
              1,
              groups=in_channels,
              norm_layer=norm_layer,
          ),
          _ConvBNReLU(
              in_channels, out_channels, 1, norm_layer=norm_layer
          ),
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new _DepthwiseConv object from inherited base classes: nn with example: obj = _DepthwiseConv(in_channels, out_channels, stride, norm_layer)