code: def create_block(
      embed_dim,
      num_heads,
      mlp_ratio,
      qkv_bias,
      drop_rate,
      attn_drop_rate,
      drop_path,
      norm_layer,
      act_layer,
      use_flash_attn,
      fused_bias_fc,
      fused_dense_gelu_dense,
      fused_dropout_add_ln,
      bf16,
  ):
      mixer_cls = create_mixer_cls(
          num_heads,
          qkv_bias,
          attn_drop_rate,
          use_flash_attn,
          fused_bias_fc,
          bf16,
      )
      mlp_cls = create_mlp_cls(
          embed_dim, mlp_ratio, act_layer, fused_dense_gelu_dense, bf16
      )
      block = Block(
          embed_dim,
          mixer_cls,
          mlp_cls,
          norm_cls=norm_layer,
          prenorm=True,
          resid_dropout=drop_rate,
          drop_path=drop_path,
          fused_dropout_add_ln=fused_dropout_add_ln,
      )
      return block
  
imports: import math
  from functools import partial
  from copy import deepcopy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.init import trunc_normal_
  from timm.models.helpers import named_apply
  from timm.models.layers import PatchEmbed
  from src.models.modules.mha import MHA
  from src.models.modules.mlp import Mlp, FusedDenseGeluDense
  from src.models.modules.block import Block
label_desc: Use image node_id 3 for calling a global function with example usage: create_block(embed_dim, num_heads, mlp_ratio, qkv_bias, drop_rate, attn_drop_rate, drop_path, norm_layer, act_layer, use_flash_attn, fused_bias_fc, fused_dense_gelu_dense, fused_dropout_add_ln, bf16) and returns: block