docstr: Context-sensitive Prediction Module 
docstr_tok: ["Context-sensitive","Prediction","Module"]
code: def _cpm_module(self):
      """
      Context-sensitive Prediction Module
      """
  
      def cpm(input):
          # residual
          branch1 = conv_bn(input, 1024, 1, 1, 0, None)
          branch2a = conv_bn(input, 256, 1, 1, 0, act="relu")
          branch2b = conv_bn(branch2a, 256, 3, 1, 1, act="relu")
          branch2c = conv_bn(branch2b, 1024, 1, 1, 0, None)
          sum = branch1 + branch2c
          rescomb = fluid.layers.relu(x=sum)
  
          # ssh
          b_attr = ParamAttr(
              learning_rate=2.0, regularizer=L2Decay(0.0)
          )
          ssh_1 = fluid.layers.conv2d(
              rescomb, 256, 3, 1, 1, bias_attr=b_attr
          )
          ssh_dimred = fluid.layers.conv2d(
              rescomb, 128, 3, 1, 1, act="relu", bias_attr=b_attr
          )
          ssh_2 = fluid.layers.conv2d(
              ssh_dimred, 128, 3, 1, 1, bias_attr=b_attr
          )
          ssh_3a = fluid.layers.conv2d(
              ssh_dimred, 128, 3, 1, 1, act="relu", bias_attr=b_attr
          )
          ssh_3b = fluid.layers.conv2d(
              ssh_3a, 128, 3, 1, 1, bias_attr=b_attr
          )
  
          ssh_concat = fluid.layers.concat(
              [ssh_1, ssh_2, ssh_3b], axis=1
          )
          ssh_out = fluid.layers.relu(x=ssh_concat)
          return ssh_out
  
      self.ssh_conv3 = cpm(self.lfpn0_on_conv3)
      self.ssh_conv4 = cpm(self.lfpn1_on_conv4)
      self.ssh_conv5 = cpm(self.lfpn2_on_conv5)
      self.ssh_conv6 = cpm(self.conv6)
      self.ssh_conv7 = cpm(self.conv7)
      self.ssh_conv8 = cpm(self.conv8)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import six
  import paddle.fluid
  from paddle.fluid.param_attr import ParamAttr
  from paddle.fluid.initializer import Xavier
  from paddle.fluid.initializer import Constant
  from paddle.fluid.initializer import Bilinear
  from paddle.fluid.regularizer import L2Decay
label_desc: Use image node_id 6 for calling the PyramidBox obj's underlying member method code with example usage: obj._cpm_module() and returns: ssh_out