code: def transpose_for_scores(self, x):
      x = x.reshape(
          x.shape[0],
          x.shape[1],
          self.num_attention_heads,
          self.attention_head_size,
      )
      return x.transpose(1, 2)
  
imports: from tinygrad.tensor import Tensor
  from tinygrad.nn import Linear, LayerNorm, Embedding
  from tinygrad.helpers import fetch, get_child
  from pathlib import Path
label_desc: Use image node_id 3 for calling the BertSelfAttention obj's underlying member method code with example usage: obj.transpose_for_scores(x) and returns: x