code: def __init__(self, config, layer_number):
      super().__init__()
      self.layer_number = layer_number
      self.input_layernorm = nn.LayerNorm(
          config.hidden_size, eps=config.layer_norm_eps
      )
      self.post_attention_layernorm = nn.LayerNorm(
          config.hidden_size, eps=config.layer_norm_eps
      )
      # activate bias only last layer
      self.attention = GPTNeoXJapaneseAttention(
          config=config,
          use_bias=layer_number == config.num_hidden_layers - 1,
      )
      self.mlp = GPTNeoXJapaneseMLP(config)
      self.hidden_dropout = config.hidden_dropout
  
imports: from typing import Optional, Tuple, Union
  import torch
  import torch.utils.checkpoint
  from torch import Tensor, nn
  from torch.nn import CrossEntropyLoss
  from ...activations import ACT2FN
  from ...file_utils import add_start_docstrings, add_start_docstrings_to_model_forward, replace_return_docstrings
  from ...modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast
  from ...modeling_utils import PreTrainedModel
  from ...utils import logging
  from .configuration_gpt_neox_japanese import GPTNeoXJapaneseConfig
label_desc: Use image node_id 1 to create a new GPTNeoXJapaneseLayer object from inherited base classes: nn with example: obj = GPTNeoXJapaneseLayer(config, layer_number)