code: def forward(self, inputs):
      out = self.conv(inputs)
      out = self.norm(out)
  
      if self.act == "relu":
          out = F.relu(out)
      return out
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn import AdaptiveAvgPool2D, Linear
  from paddle.regularizer import L2Decay
  from paddle import ParamAttr
  from paddle.nn.initializer import Normal, Uniform
  from numbers import Integral
  import math
  from ppdet.core.workspace import register
  from ..shape_spec import ShapeSpec
label_desc: Use image node_id 2 for calling the ConvNormLayer obj's underlying member method code with example usage: obj.forward(inputs) and returns: out