code: def __init__(self, in_dim, out_dim, resolution1, resolution2):
      super().__init__()
      self.resolution1 = resolution1
      self.resolution2 = resolution2
      self.pool = nn.AvgPool2D(1, 2, 0)
      self.local = nn.Sequential(
          nn.Conv2D(
              in_dim,
              in_dim,
              kernel_size=3,
              stride=2,
              padding=1,
              groups=in_dim,
          ),
      )
      self.proj = nn.Sequential(
          nn.Conv2D(in_dim, out_dim, 1),
          nn.BatchNorm2D(out_dim),
      )
  
imports: import math
  import itertools
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.utils import utils
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.models.backbones.transformer_utils import *
label_desc: Use image node_id 1 to create a new LGQuery object from inherited base classes: nn with example: obj = LGQuery(in_dim, out_dim, resolution1, resolution2)