code: def from_cfg(
      cls, cfg, dtype=None, output_all_encodings=False
  ) -> "GPT2Model":
      cfg = GPT2Model.get_cfg().clone_merge(cfg)
      embed_initializer = mx.init.create(*cfg.INITIALIZER.embed)
      weight_initializer = mx.init.create(*cfg.INITIALIZER.weight)
      bias_initializer = mx.init.create(*cfg.INITIALIZER.bias)
      if dtype is None:
          dtype = cfg.MODEL.dtype
      return cls(
          vocab_size=cfg.MODEL.vocab_size,
          units=cfg.MODEL.units,
          num_layers=cfg.MODEL.num_layers,
          num_heads=cfg.MODEL.num_heads,
          max_length=cfg.MODEL.max_length,
          pos_embed_type=cfg.MODEL.pos_embed_type,
          activation=cfg.MODEL.activation,
          layer_norm_eps=cfg.MODEL.layer_norm_eps,
          embed_dropout_prob=cfg.MODEL.embed_dropout_prob,
          hidden_dropout_prob=cfg.MODEL.hidden_dropout_prob,
          attention_dropout_prob=cfg.MODEL.attention_dropout_prob,
          embed_initializer=embed_initializer,
          weight_initializer=weight_initializer,
          bias_initializer=bias_initializer,
          dtype=dtype,
          output_all_encodings=output_all_encodings,
          layout=cfg.MODEL.layout,
          compute_layout=cfg.MODEL.compute_layout,
      )
  
imports: import os
  from typing import Tuple
  import mxnet
  from mxnet import use_np, np, npx
  from mxnet.gluon import HybridBlock, nn
  from .base import BACKBONE_REGISTRY
  from ..base import get_model_zoo_home_dir, get_repo_model_zoo_url, get_model_zoo_checksum_dir
  from ..utils.config import CfgNode
  from ..utils.misc import load_checksum_stats, download
  from ..utils.registry import Registry
  from ..initializer import TruncNorm
  from ..attention_cell import MultiHeadAttentionCell
  from ..layers import get_activation, PositionalEmbedding
  from ..data.tokenizers import HuggingFaceByteBPETokenizer
label_desc: Use image node_id 7 for calling the GPT2Model obj's underlying member method code with example usage: obj.from_cfg(cls, cfg, dtype, output_all_encodings) and returns: cls