code: def __init__(self, in_channels):
      super().__init__()
      self.q_conv = nn.Conv2D(
          in_channels, in_channels // 8, kernel_size=1
      )
      self.k_conv = nn.Conv2D(
          in_channels, in_channels // 8, kernel_size=1
      )
      self.v_conv = nn.Conv2D(in_channels, in_channels, kernel_size=1)
      self.softmax = nn.Softmax(axis=3)
      self.gamma = self.create_parameter(
          shape=(1,), default_initializer=nn.initializer.Constant(0)
      )
      self.inf_tensor = paddle.full(shape=(1,), fill_value=float("inf"))
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 1 to create a new CrissCrossAttention object from inherited base classes: nn with example: obj = CrissCrossAttention(in_channels)