code: def __init__(self, in_channels, out_channels, scale=8, dilation=1):
      super(Res2NetBlock, self).__init__()
      assert in_channels % scale == 0
      assert out_channels % scale == 0
  
      in_channel = in_channels // scale
      hidden_channel = out_channels // scale
  
      self.blocks = nn.LayerList(
          [
              TDNNBlock(
                  in_channel,
                  hidden_channel,
                  kernel_size=3,
                  dilation=dilation,
              )
              for i in range(scale - 1)
          ]
      )
      self.scale = scale
  
imports: import math
  import os
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new Res2NetBlock object from inherited base classes: nn with example: obj = Res2NetBlock(in_channels, out_channels, scale, dilation)