code: def forward(self, inputs):
      out = F.normalize(inputs, axis=1, epsilon=1e-10)
      # out = self.scale.unsqueeze(0).unsqueeze(2).unsqueeze(3).expand_as(
      #     out) * out
      out = self.scale.unsqueeze(0).unsqueeze(2).unsqueeze(3) * out
      return out
  
imports: from __future__ import division
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle import ParamAttr
  from paddle.nn import Conv2D, MaxPool2D
  from ppdet.core.workspace import register, serializable
  from ..shape_spec import ShapeSpec
label_desc: Use image node_id 2 for calling the L2NormScale obj's underlying member method code with example usage: obj.forward(inputs) and returns: out