class_docstr: Depthwise Convolution.
class_docstr_tok: ["Depthwise","Convolution","."]
code: def __init__(
      self,
      in_channels: int,
      out_channels: int,
      kernel_size: int,
      padding: str = "same",
      **kwargs,
  ):
      super().__init__()
      self.depthwise_conv = ConvBN(
          in_channels,
          out_channels=out_channels,
          kernel_size=kernel_size,
          padding=padding,
          groups=in_channels,
          **kwargs,
      )
  
imports: import os
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new DepthwiseConvBN object from inherited base classes: nn with example: obj = DepthwiseConvBN(in_channels, out_channels, kernel_size, padding)