class_docstr: Mean embedding class.
class_docstr_tok: ["Mean","embedding","class","."]
code: def __init__(self):
      super(MeanEmbedding, self).__init__()
  
imports: import torch
  from torch import nn
  from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
  from ...data.data import from_batch
  from ..utils.bert_utils import convert_text_to_bert_features, extract_bert_hidden_states
  from ..utils.generic_utils import dropout_fn
  from ..utils.padding_utils import pad_4d_vals
  from ..utils.vocab_utils import Vocab
label_desc: Use image node_id 1 to create a new MeanEmbedding object from inherited base classes: nn with example: obj = MeanEmbedding()