code: def __init__(self, inplane, plane):
      super(GALDBlock, self).__init__()
      """
              Note down the spatial into 1/16
          """
      self.down = nn.Sequential(
          nn.Conv2d(
              inplane, inplane, kernel_size=3, groups=inplane, stride=2
          ),
          BatchNorm2d(inplane),
          nn.ReLU(inplace=False),
      )
      self.long_relation = SpatialCGNL(inplane, plane)
      self.local_attention = LocalAttenModule(inplane)
  
imports: import torch.nn
  import torch
  import torch.nn.functional
  from torch.nn import BatchNorm2d
label_desc: Use image node_id 1 to create a new GALDBlock object from inherited base classes: nn with example: obj = GALDBlock(inplane, plane)