class_docstr: Extend Glow for video.
docstr: Squeeze a 5-D Tensor video with one timestep to a 4-D frame.
code: def squeeze_video(self, video, init=False):
      """Squeeze a 5-D Tensor video with one timestep to a 4-D frame."""
      if init:
          batch_size = self.hparams.init_batch_size
      else:
          batch_size = self.hparams.batch_size
      frame_shape = [batch_size] + self.hparams.problem.frame_shape
      return tf.reshape(video, frame_shape)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from six.moves import range
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import common_video
  from tensor2tensor.layers import modalities
  from tensor2tensor.models.research import glow
  from tensor2tensor.models.research import glow_ops
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  import tensorflow_probability
label_desc: Use image node_id 11 for calling the NextFrameGlow obj's underlying member method code with example usage: obj.squeeze_video(video, init) and returns: tf