docstr: This method is responsible for consuming user and item representations and indices and calculating prediction
  scores for particular user-item pairs.
  :param tf_user_representation: tf.Tensor
  The user representations as a Tensor of shape [n_users, n_components]
  :param tf_item_representation: tf.Tensor
  The item representations as a Tensor of shape [n_items, n_components]
  :param tf_x_user: tf.Tensor
  The users for whom to predict as a Tensor of shape [n_interactions]
  :param tf_x_item: tf.Tensor
  The items for which to predict as a Tensor of shape [n_interactions]
  :return: tf.Tensor
  The predictions as a Tensor of shape [n_interactions]
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code: def connect_serial_prediction_graph(
      self,
      tf_user_representation,
      tf_item_representation,
      tf_x_user,
      tf_x_item,
  ):
      """
      This method is responsible for consuming user and item representations and indices and calculating prediction
      scores for particular user-item pairs.
      :param tf_user_representation: tf.Tensor
      The user representations as a Tensor of shape [n_users, n_components]
      :param tf_item_representation: tf.Tensor
      The item representations as a Tensor of shape [n_items, n_components]
      :param tf_x_user: tf.Tensor
      The users for whom to predict as a Tensor of shape [n_interactions]
      :param tf_x_item: tf.Tensor
      The items for which to predict as a Tensor of shape [n_interactions]
      :return: tf.Tensor
      The predictions as a Tensor of shape [n_interactions]
      """
      pass
  
file_path: tensorrec/tensorrec/prediction_graphs.py
imports: import abc
  import tensorflow
  from .recommendation_graphs import relative_cosine
label_desc: Use image node_id 2 for calling the AbstractPredictionGraph obj's underlying member method code with example usage: obj.connect_serial_prediction_graph(tf_user_representation, tf_item_representation, tf_x_user, tf_x_item) without return types