code: def _de_sigmoid(x, eps=1e-7):
      x = paddle.clip(x, eps, 1.0 / eps)
      x = paddle.clip(1.0 / x - 1.0, eps, 1.0 / eps)
      x = -paddle.log(x)
      return x
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle import ParamAttr
  from paddle.regularizer import L2Decay
  from ppdet.core.workspace import register
  import math
  import numpy
  from ..initializer import bias_init_with_prob, constant_
  from ..backbones.csp_darknet import BaseConv, DWConv
  from ..losses import IouLoss
  from ppdet.modeling.assigners.simota_assigner import SimOTAAssigner
  from ppdet.modeling.bbox_utils import bbox_overlaps
  from ppdet.modeling.layers import MultiClassNMS
label_desc: Use image node_id 1 for calling a global function with example usage: _de_sigmoid(x, eps) and returns: x