code: def analogy_computation_2d(
      f_first_enc, f_first_frame, f_current_enc, first_depth
  ):
      """Implements the deep analogy computation."""
      with tf.variable_scope("analogy_computation"):
          frame_enc_diff = f_first_frame - f_first_enc
  
          frame_enc_diff_enc = tf.layers.conv2d(
              frame_enc_diff,
              first_depth * 4,
              3,
              padding="same",
              activation=tf.nn.relu,
              strides=1,
          )
          f_current_enc_enc = tf.layers.conv2d(
              f_current_enc,
              first_depth * 4,
              3,
              padding="same",
              activation=tf.nn.relu,
              strides=1,
          )
  
          analogy = tf.concat(
              [frame_enc_diff_enc, f_current_enc_enc], 3
          )
          analogy = tf.layers.conv2d(
              analogy,
              first_depth * 4,
              3,
              padding="same",
              activation=tf.nn.relu,
              strides=1,
          )
          analogy = contrib.layers().layer_norm(analogy)
          analogy = tf.layers.conv2d(
              analogy,
              first_depth * 4,
              3,
              padding="same",
              activation=tf.nn.relu,
              strides=1,
          )
          return tf.layers.conv2d(
              analogy,
              first_depth * 4,
              3,
              padding="same",
              activation=tf.nn.relu,
              strides=1,
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from six.moves import reduce
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import common_video
  from tensor2tensor.models.video import epva_params
  from tensor2tensor.models.video import sv2p
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.contrib.framework.python.ops import arg_scope
  from tensorflow.contrib.slim.python.slim.nets import vgg
label_desc: Use image node_id 4 for calling a global function with example usage: analogy_computation_2d(f_first_enc, f_first_frame, f_current_enc, first_depth) and returns: tf