code: def forward(self, inputs):
      out = self.conv(inputs)
      out = self.batch_norm(out)
      if self.act == "leaky":
          out = F.leaky_relu(out, 0.1)
      else:
          out = getattr(F, self.act)(out)
      return out
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register, serializable
  from ppdet.modeling.ops import batch_norm, mish
  from ..shape_spec import ShapeSpec
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: out