code: def __init__(
      self,
      inplanes,
      planes,
      num_heads,
      window_size=7,
      mlp_ratio=4.0,
      drop=0.0,
      attn_drop=0.0,
      drop_path=0.0,
      act_layer=nn.GELU,
      norm_layer=nn.LayerNorm,
  ):
      super(GeneralTransformerBlock, self).__init__()
      self.dim = inplanes
      self.out_dim = planes
      self.num_heads = num_heads
      self.window_size = window_size
      self.mlp_ratio = mlp_ratio
      self.attn = InterlacedPoolAttention(
          self.dim,
          num_heads=num_heads,
          window_size=window_size,
          rpe=True,
          dropout=attn_drop,
      )
  
      self.norm1 = norm_layer(self.dim, epsilon=1e-6)
      self.norm2 = norm_layer(self.dim, epsilon=1e-6)
      self.drop_path = (
          DropPath(drop_path) if drop_path > 0.0 else nn.Identity()
      )
      mlp_hidden_dim = int(self.dim * mlp_ratio)
  
      self.mlp = MlpDWBN(
          in_features=self.dim,
          hidden_features=mlp_hidden_dim,
          out_features=self.out_dim,
          act_layer=act_layer,
          dw_act_layer=act_layer,
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.models import layers
  from paddleseg.utils import utils, logger
  from paddleseg.models.backbones.transformer_utils import *
label_desc: Use image node_id 1 to create a new GeneralTransformerBlock object from inherited base classes: nn with example: obj = GeneralTransformerBlock(inplanes, planes, num_heads, window_size, mlp_ratio, drop, attn_drop, drop_path, act_layer, norm_layer)