code: def forward(self, inputs):
      out = self.conv(inputs)
      if self.norm is not None:
          out = self.norm(out)
  
      if self.act == "relu":
          out = F.relu(out)
      elif self.act == "sigmoid":
          out = F.sigmoid(out)
      return out
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from numbers import Integral
  from paddle import ParamAttr
  from paddle.regularizer import L2Decay
  from paddle.nn.initializer import Normal, Constant
  from ppdet.core.workspace import register
  from ppdet.modeling.shape_spec import ShapeSpec
  from ppdet.modeling.ops import channel_shuffle
  from ..None import layers
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