code: def __init__(
      self,
      block_num,
      embedding_dim,
      key_dim,
      num_heads,
      mlp_ratio=4.0,
      attn_ratio=2.0,
      drop=0.0,
      attn_drop=0.0,
      drop_path=0.0,
      act_layer=None,
  ):
      super().__init__()
  
      self.block_num = block_num
  
      self.transformer_blocks = nn.LayerList()
      for i in range(self.block_num):
          self.transformer_blocks.append(
              Block(
                  embedding_dim,
                  key_dim=key_dim,
                  num_heads=num_heads,
                  mlp_ratio=mlp_ratio,
                  attn_ratio=attn_ratio,
                  drop=drop,
                  drop_path=drop_path[i]
                  if isinstance(drop_path, list)
                  else drop_path,
                  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.models.backbones.transformer_utils import DropPath, zeros_, ones_
  from paddleseg.utils import utils
label_desc: Use image node_id 1 to create a new BasicLayer object from inherited base classes: nn with example: obj = BasicLayer(block_num, embedding_dim, key_dim, num_heads, mlp_ratio, attn_ratio, drop, attn_drop, drop_path, act_layer)