code: def process_text_embedding(
      self, text_embedding, key_padding_mask=None
  ):
      text_embedding = text_embedding.transpose(0, 1)
      embedding, _ = self.text_embedding(
          text_embedding,
          text_embedding,
          text_embedding,
          key_padding_mask=key_padding_mask,
      )
  
      return embedding.transpose(0, 1)
  
imports: import torch
  from mmf.common.registry import registry
  from mmf.models.pythia import Pythia
  from mmf.modules.embeddings import ProjectionEmbedding
  from mmf.utils.transform import transform_to_batch_sequence
  from torch import nn
label_desc: Use image node_id 11 for calling the MMFBert obj's underlying member method code with example usage: obj.process_text_embedding(text_embedding, key_padding_mask) and returns: embedding