code: def forward(self, x):
      alpha = F.adaptive_avg_pool2d(x, [1, 1])
      alpha = paddle.squeeze(alpha, axis=[2, 3])
      alpha = self.dense(alpha)
      alpha = paddle.unsqueeze(alpha, axis=[2, 3])
      out = x * alpha
      return out
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.models import layers
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils
label_desc: Use image node_id 2 for calling the SqueezeBlock obj's underlying member method code with example usage: obj.forward(x) and returns: out