class_docstr: Implements an efficient Sparse Self Attention of Transformer layer based on `Generative Modeling with Sparse Transformers`: https://arxiv.org/abs/1904.10509
  
  For more information please see, TODO DeepSpeed Sparse Transformer.
  
  For usage example please see, TODO DeepSpeed Sparse Transformer Tutorial.
code: def transpose_key_for_scores(self, x, L):
      bsz, num_heads, seq_len, head_dim = x.size()
      if seq_len != L:
          return x.permute(0, 1, 3, 2)
      return x
  
file_path: DeepSpeed/deepspeed/ops/sparse_attention/sparse_self_attention.py
imports: import torch.nn
  import torch
  from torch import distributed
  from deepspeed.ops.sparse_attention import SparsityConfig
label_desc: Use image node_id 4 for calling the SparseSelfAttention obj's underlying member method code with example usage: obj.transpose_key_for_scores(x, L) and returns: x, x