code: def forward(self, input_features, gating_features):
      cat = paddle.concat([input_features, gating_features], axis=1)
      alphas = self._gate_conv(cat)
      x = input_features * (alphas + 1)
      x = self.conv(x)
      return x
  
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 GatedSpatailConv2d obj's underlying member method code with example usage: obj.forward(input_features, gating_features) and returns: x