code: def forward(self, inputs):
      y = self._conv(inputs)
      y = self._batch_norm(y)
      return y
  
imports: import paddle
  from paddle import ParamAttr, reshape, transpose, concat, split
  from paddle.nn import Layer, Conv2D, MaxPool2D, AdaptiveAvgPool2D, BatchNorm, Linear
  from paddle.nn.initializer import KaimingNormal
  from paddle.nn.functional import swish
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils, logger
label_desc: Use image node_id 2 for calling the ConvBNLayer obj's underlying member method code with example usage: obj.forward(inputs) and returns: y