class_docstr: Stochastic Variational Video Prediction From Basic Model!
class_docstr_tok: ["Stochastic","Variational","Video","Prediction","From","Basic","Model","!"]
docstr: Losses in addition to the default modality losses.
docstr_tok: ["Losses","in","addition","to","the","default","modality","losses","."]
code: def get_extra_loss(
      self,
      latent_means=None,
      latent_stds=None,
      true_frames=None,
      gen_frames=None,
  ):
      """Losses in addition to the default modality losses."""
      del true_frames, gen_frames
      return self.get_kl_loss(latent_means, latent_stds)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  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 base_vae
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 8 for calling the NextFrameSv2p obj's underlying member method code with example usage: obj.get_extra_loss(latent_means, latent_stds, true_frames, gen_frames) and returns: self