code: def meta_blocks(
      dim,
      index,
      layers,
      pool_size=3,
      mlp_ratio=4.0,
      act_layer=nn.GELU,
      norm_layer=nn.LayerNorm,
      drop_rate=0.0,
      drop_path_rate=0.0,
      use_layer_scale=True,
      layer_scale_init_value=1e-5,
      vit_num=1,
      resolution=7,
      e_ratios=None,
  ):
      blocks = []
      for block_idx in range(layers[index]):
          block_dpr = (
              drop_path_rate
              * (block_idx + sum(layers[:index]))
              / (sum(layers) - 1)
          )
          mlp_ratio = e_ratios[str(index)][block_idx]
          if index >= 2 and block_idx > layers[index] - 1 - vit_num:
              if index == 2:
                  stride = 2
              else:
                  stride = None
              blocks.append(
                  AttnFFN(
                      dim,
                      mlp_ratio=mlp_ratio,
                      act_layer=act_layer,
                      norm_layer=norm_layer,
                      drop=drop_rate,
                      drop_path=block_dpr,
                      use_layer_scale=use_layer_scale,
                      layer_scale_init_value=layer_scale_init_value,
                      resolution=resolution,
                      stride=stride,
                  )
              )
          else:
              blocks.append(
                  FFN(
                      dim,
                      pool_size=pool_size,
                      mlp_ratio=mlp_ratio,
                      act_layer=act_layer,
                      drop=drop_rate,
                      drop_path=block_dpr,
                      use_layer_scale=use_layer_scale,
                      layer_scale_init_value=layer_scale_init_value,
                  )
              )
  
      blocks = nn.Sequential(*blocks)
      return blocks
  
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 2 for calling a global function with example usage: meta_blocks(dim, index, layers, pool_size, mlp_ratio, act_layer, norm_layer, drop_rate, drop_path_rate, use_layer_scale, layer_scale_init_value, vit_num, resolution, e_ratios) and returns: blocks