class_docstr: Relative Position Embedding implementation from the T5 paper : https://arxiv.org/abs/1910.10683
code: def forward(self, query_seq_length, key_seq_length):
      self_attention_relative_position_bucket = (
          self._compute_relative_position_bucket(
              query_seq_length, key_seq_length
          )
      )
      return self._compute_relative_position_bias(
          self_attention_relative_position_bucket
      )
  
file_path: NeMo/nemo/collections/nlp/modules/common/megatron/position_embedding/t5_relative_position_embedding.py
imports: import math
  import torch
label_desc: Use image node_id 5 for calling the T5RelativePositionEmbedding obj's underlying member method code with example usage: obj.forward(query_seq_length, key_seq_length) and returns: self