class_docstr: Glow generative model.
  
  Reference: https://arxiv.org/abs/1807.03039
class_docstr_tok: ["Glow","generative","model",".","Reference",":","https",":","\/\/arxiv.org\/abs\/1807.03039"]
docstr: Preprocessing as per the input modality.
docstr_tok: ["Preprocessing","as","per","the","input","modality","."]
code: def init_preprocess(self, features):
      """Preprocessing as per the input modality."""
      return features
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.models.research import glow_init_hook
  from tensor2tensor.models.research import glow_ops
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 for calling the Glow obj's underlying member method code with example usage: obj.init_preprocess(features) and returns: features