class_docstr: Basic next-frame model, may take actions and predict rewards too.
class_docstr_tok: ["Basic","next-frame","model",",","may","take","actions","and","predict","rewards","too","."]
docstr: Update the internal states early in the network if requested.
docstr_tok: ["Update","the","internal","states","early","in","the","network","if","requested","."]
code: def update_internal_states_early(self, internal_states, frames):
      """Update the internal states early in the network if requested."""
      del frames
      return internal_states
  
file_path: tensor2tensor/tensor2tensor/models/video/basic_deterministic.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import common_video
  from tensor2tensor.layers import discretization
  from tensor2tensor.models.video import base
  from tensor2tensor.models.video import basic_deterministic_params
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 4 for calling the NextFrameBasicDeterministic obj's underlying member method code with example usage: obj.update_internal_states_early(internal_states, frames) and returns: internal_states