class_docstr: BERT self-attention layer from Huggingface transformers.
  
  Compared to the BertSelfAttention of Huggingface, only add the clamp.
  
  Args:
      config (:class:`~transformers.BertConfig`):
          The configuration object that
          contains various parameters for the model.
      clamp_min_for_underflow (bool, optional):
          Whether to clamp the minimum value of the hidden states
           to prevent underflow. Defaults to `False`.
      clamp_max_for_overflow (bool, optional):
          Whether to clamp the maximum value of the hidden states
          to prevent overflow. Defaults to `False`.
class_docstr_tok: ["BERT","self-attention","layer","from","Huggingface","transformers",".","Compared","to","the","BertSelfAttention","of","Huggingface",",","only","add","the","clamp",".","Args",":","config","(",":","class",":","`","~transformers.BertConfig","`",")",":","The","configuration","object","that","contains","various","parameters","for","the","model",".","clamp_min_for_underflow","(","bool",",","optional",")",":","Whether","to","clamp","the","minimum","value","of","the","hidden","states","to","prevent","underflow",".","Defaults","to","`","False","`",".","clamp_max_for_overflow","(","bool",",","optional",")",":","Whether","to","clamp","the","maximum","value","of","the","hidden","states","to","prevent","overflow",".","Defaults","to","`","False","`","."]
docstr: Transpose the dimensions of `x`.
docstr_tok: ["Transpose","the","dimensions","of","`","x","`","."]
code: def transpose_for_scores(self, x: Tensor) -> Tensor:
      """Transpose the dimensions of `x`."""
      new_x_shape = x.size()[:-1] + (
          self.num_attention_heads,
          self.attention_head_size,
      )
      x = x.view(*new_x_shape)
      return x.permute(0, 2, 1, 3)
  
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 2 for calling the BertSelfAttention obj's underlying member method code with example usage: obj.transpose_for_scores(x) and returns: x