class_docstr: Modified from transformers.models.bert.modeling_bert.BertIntermediate.
  
  Compared to the BertIntermediate of Huggingface, only add the clamp.
class_docstr_tok: ["Modified","from","transformers.models.bert.modeling_bert.BertIntermediate",".","Compared","to","the","BertIntermediate","of","Huggingface",",","only","add","the","clamp","."]
code: def forward(self, hidden_states: Tensor) -> Tensor:
      hidden_states = self.dense(hidden_states)
      hidden_states = clamp_values(hidden_states)
      hidden_states = self.intermediate_act_fn(hidden_states)
      hidden_states = clamp_values(hidden_states)
      return hidden_states
  
imports: import math
  from typing import Dict, Optional, Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.checkpoint
  from mmcv.cnn.bricks import DropPath
  from torch import Tensor
label_desc: Use image node_id 1 for calling the BertIntermediate obj's underlying member method code with example usage: obj.forward(hidden_states) and returns: hidden_states