code: def decoder_relative_position_embeddings_weight(self):
      if hasattr(self.module, "decoder_relative_position_embedding"):
          return (
              self.module.decoder_relative_position_embedding.relative_position_embedding.weight
          )
      else:
          raise ValueError(
              f"No decoder_relative_position_embedding found on this rank. Looking for decoder_relative_position_embedding.relative_position_embedding.weight"
          )
  
imports: import torch
  from torch.autograd import Variable
  from torch.nn.parameter import Parameter
  from nemo.collections.nlp.modules.common.megatron.utils import ApexGuardDefaults
  from nemo.utils import logging
label_desc: Use image node_id 9 for calling the Float16Module obj's underlying member method code with example usage: obj.decoder_relative_position_embeddings_weight() and returns: self