class_docstr: Fast self-attention used in Fastformer.
docstr: Reshape and transpose to compute scores.
  
  Args:
      x: (batch, time, size = n_heads * attn_dim)
  
  Returns:
      (batch, n_heads, time, attn_dim)
code: def transpose_for_scores(self, x):
      """Reshape and transpose to compute scores.
  
      Args:
          x: (batch, time, size = n_heads * attn_dim)
  
      Returns:
          (batch, n_heads, time, attn_dim)
      """
  
      new_x_shape = x.shape[:-1] + (
          self.num_attention_heads,
          self.attention_head_size,
      )
      return x.reshape(*new_x_shape).transpose(1, 2)
  
file_path: espnet/espnet2/asr/layers/fastformer.py
imports: import numpy
  import torch
label_desc: Use image node_id 4 for calling the FastSelfAttention obj's underlying member method code with example usage: obj.transpose_for_scores(x) and returns: x