code: def forward(self, inputs):
      pool = self.pool2d_gap(inputs)
      pool = paddle.squeeze(pool, axis=[2, 3])
      squeeze = self.squeeze(pool)
      squeeze = F.relu(squeeze)
      excitation = self.excitation(squeeze)
      excitation = paddle.clip(x=excitation, min=0, max=1)
      excitation = paddle.unsqueeze(excitation, axis=[2, 3])
      out = paddle.multiply(inputs, excitation)
      return out
  
imports: import math
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn import AdaptiveAvgPool2D, Linear
  from paddle.nn.initializer import Uniform
  from ppdet.core.workspace import register, serializable
  from numbers import Integral
  from ..shape_spec import ShapeSpec
  from .mobilenet_v3 import make_divisible, ConvBNLayer
label_desc: Use image node_id 2 for calling the SEBlock obj's underlying member method code with example usage: obj.forward(inputs) and returns: out