class_docstr: The auxiliary layer implementation for auxiliary loss.
  
  Args:
      in_channels (int): The number of input channels.
      inter_channels (int): The intermediate channels.
      out_channels (int): The number of output channels, and usually it is num_classes.
      dropout_prob (float, optional): The drop rate. Default: 0.1.
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code: def forward(self, x: paddle.Tensor) -> paddle.Tensor:
      x = self.conv_bn_relu(x)
      x = self.dropout(x)
      x = self.conv(x)
      return x
  
imports: import os
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 2 for calling the AuxLayer obj's underlying member method code with example usage: obj.forward(x) and returns: x