code: def visualize_reconstruction(
      inputs, reconstruct, num=3, name="reconstruction"
  ):
      """Visualizes the reconstruction of inputs in TensorBoard.
  
      Args:
        inputs: A tensor of the original inputs, of shape [batch, timesteps,
          h, w, c].
        reconstruct: A tensor of a reconstruction of inputs, of shape
          [batch, timesteps, h, w, c].
        num: Integer for the number of examples to visualize.
        name: String name of this summary.
      """
      reconstruct = tf1.clip_by_value(reconstruct, 0.0, 1.0)
      inputs_and_reconstruct = tf1.concat(
          (inputs[:num], reconstruct[:num]), axis=0
      )
      image_summary(inputs_and_reconstruct, name)
  
imports: from datetime import datetime
  import functools
  from absl import app
  from absl import flags
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  import tensorflow_probability
  from tensorflow_probability.examples import sprites_dataset
  from tensorflow_probability.python.internal import tf_keras
label_desc: Use image node_id 2 for calling a global function with example usage: visualize_reconstruction(inputs, reconstruct, num, name) without return types