code: def forward(self, x):
      size = paddle.shape(x)[2:]
      seg_down = self.down(x)
      seg_down = F.interpolate(
          seg_down,
          size=size,
          mode="bilinear",
          align_corners=self.align_corners,
      )
      flow = self.flow_make(paddle.concat([x, seg_down], axis=1))
      seg_flow_warp = self.flow_warp(x, flow, size)
      seg_edge = x - seg_flow_warp
      return seg_flow_warp, seg_edge
  
imports: import cv2
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.models.backbones import resnet_vd
  from paddleseg.models import deeplab
  from paddleseg.utils import utils
label_desc: Use image node_id 2 for calling the SqueezeBodyEdge obj's underlying member method code with example usage: obj.forward(x) and returns: seg_flow_warp,  seg_edge