code: def __init__(
      self,
      in_channels,
      out_channels,
      kernel_size,
      padding="same",
      **kwargs,
  ):
      super().__init__()
  
      self._conv = nn.Conv2D(
          in_channels,
          out_channels,
          kernel_size,
          padding=padding,
          **kwargs,
      )
  
      if "data_format" in kwargs:
          data_format = kwargs["data_format"]
      else:
          data_format = "NCHW"
      self._batch_norm = SyncBatchNorm(
          out_channels, data_format=data_format
      )
      self._relu = layers.Activation("leakyrelu")
  
imports: import os
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.models import layers
label_desc: Use image node_id 1 to create a new ConvBNLeakyReLU object from inherited base classes: nn with example: obj = ConvBNLeakyReLU(in_channels, out_channels, kernel_size, padding)