class_docstr: Stochastic Variational Video Prediction Without Learned Prior.
class_docstr_tok: ["Stochastic","Variational","Video","Prediction","Without","Learned","Prior","."]
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_pos,
      latent_logvars_pos,
      latent_means_prior,
      latent_logvars_prior,
  ):
      """Losses in addition to the default modality losses."""
      return self.get_kl_loss(
          latent_means_pos,
          latent_logvars_pos,
          latent_means_prior,
          latent_logvars_prior,
      )
  
file_path: tensor2tensor/tensor2tensor/models/video/emily.py
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.models.video import sv2p
  from tensor2tensor.models.video import sv2p_params
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 6 for calling the NextFrameEmily obj's underlying member method code with example usage: obj.get_extra_loss(latent_means_pos, latent_logvars_pos, latent_means_prior, latent_logvars_prior) and returns: self