code: def __init__(self, config):
      super().__init__()
      intermediate_size = int(
          config.hidden_size * config.intermediate_multiple_size
      )
      self.dense_h_to_4h = nn.Linear(
          config.hidden_size, intermediate_size, bias=False
      )
      # Project back to h.
      self.dense_4h_to_h = nn.Linear(
          intermediate_size, config.hidden_size, bias=False
      )
      self.act = ACT2FN[config.hidden_act]
  
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 GPTNeoXJapaneseMLP object from inherited base classes: nn with example: obj = GPTNeoXJapaneseMLP(config)