code: def forward(self, stu_feature, tea_feature, inputs=None):
      if self.align is not None:
          stu_feature = self.align(stu_feature)
  
      if self.normalize:
          stu_feature = feature_norm(stu_feature)
          tea_feature = feature_norm(tea_feature)
  
      loss = self.mse_loss(stu_feature, tea_feature)
      return loss * self.loss_weight
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle import ParamAttr
  from ppdet.core.workspace import register
  from ppdet.modeling import ops
  from ppdet.modeling.losses.iou_loss import GIoULoss
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 2 for calling the MimicFeatureLoss obj's underlying member method code with example usage: obj.forward(stu_feature, tea_feature, inputs) and returns: unknown