class_docstr: Shapes moving in a stochastic way.
class_docstr_tok: ["Shapes","moving","in","a","stochastic","way","."]
docstr: Whether we have a train/test split or just hold out data.
docstr_tok: ["Whether","we","have","a","train\/test","split","or","just","hold","out","data","."]
code: def is_generate_per_split(self):
      """Whether we have a train/test split or just hold out data."""
      return False
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import numpy
  from tensor2tensor.data_generators import video_utils
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the VideoStochasticShapes10k obj's underlying member method code with example usage: obj.is_generate_per_split() and returns: False