class_docstr: Basic conv bn layer
class_docstr_tok: ["Basic","conv","bn","layer"]
code: def __init__(
      self,
      in_channels: int,
      out_channels: int,
      kernel_size: int,
      padding: str = "same",
      **kwargs: dict,
  ):
      super(ConvBN, self).__init__()
      self._conv = Conv2D(
          in_channels,
          out_channels,
          kernel_size,
          padding=padding,
          **kwargs,
      )
      self._batch_norm = SyncBatchNorm(out_channels)
  
imports: from typing import Tuple
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn.layer import activation
  from paddle.nn import Conv2D, AvgPool2D
label_desc: Use image node_id 1 to create a new ConvBN object from inherited base classes: nn with example: obj = ConvBN(in_channels, out_channels, kernel_size, padding)