code: def distill_softmax(self, x, tau):
      _, _, w, h = paddle.shape(x)
      x = paddle.reshape(x, [-1, w * h])
      x /= tau
      return F.softmax(x, axis=1)
  
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 CWDFeatureLoss obj's underlying member method code with example usage: obj.distill_softmax(x, tau) and returns: F