code: def __init__(self, exp_size, divide=4.0):
      super(SqueezeBlock, self).__init__()
  
      if divide > 1:
          self.dense = nn.Sequential(
              nn.Linear(exp_size, int(exp_size / divide)),
              nn.PReLU(int(exp_size / divide)),
              nn.Linear(int(exp_size / divide), exp_size),
              nn.PReLU(exp_size),
          )
      else:
          self.dense = nn.Sequential(
              nn.Linear(exp_size, exp_size), nn.PReLU(exp_size)
          )
  
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 1 to create a new SqueezeBlock object from inherited base classes: nn with example: obj = SqueezeBlock(exp_size, divide)