class_docstr: Dense video captioning module that encodes a video and generate tokens.
code: def decode(
      self,
      encoded,
      decoder_inputs,
      *,
      train=True,
      decode=False,
      max_decode_length=None,
  ):
      return self.decoder(
          encoded,
          **decoder_inputs,
          enable_dropout=train,
          decode=decode,
          max_decode_length=max_decode_length,
      )
  
imports: import functools
  from typing import Any, Dict, Mapping, Optional, Tuple
  from absl import logging
  import flax.linen
  from flax.training import common_utils
  import jax
  import jax.numpy
  import ml_collections
  from scenic.model_lib.base_models import base_model
  from scenic.model_lib.base_models import model_utils
  from scenic.projects.baselines import vit
  from scenic.projects.t5 import layers
  from scenic.projects.t5 import model
  from t5x import decoding
  from t5x.models import DecodeFnCallable
label_desc: Use image node_id 5 for calling the DenseVideoCaptioningModule obj's underlying member method code with example usage: obj.decode(encoded, decoder_inputs) and returns: self