code: def forward(self, inputs):
      x = self.conv1(inputs)
      x = self.bn1(x)
  
      x = self.conv2(x)
      x = self.bn2(x)
      if self.if_act:
          if self.act == "relu":
              x = F.relu(x)
          elif self.act == "hardswish":
              x = F.hardswish(x)
          else:
              print(
                  "The activation function({}) is selected incorrectly.".format(
                      self.act
                  )
              )
              exit()
  
      x = self.conv3(x)
      if self._c[0] != self._c[1]:
          x = x + self.conv_end(inputs)
      return x
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import nn
  import paddle.nn.functional
  from paddle import ParamAttr
  import os
  import sys
  from ppocr.modeling.necks.intracl import IntraCLBlock
  from ppocr.modeling.backbones.det_mobilenet_v3 import SEModule
label_desc: Use image node_id 2 for calling the DSConv obj's underlying member method code with example usage: obj.forward(inputs) and returns: x