code: def check_updates_parameters(
      updates: Sequence[types.ParameterUpdate],
      parameters: Sequence[tf.Variable],
  ):
      if len(updates) != len(parameters):
          raise ValueError(
              "`updates` and `parameters` must be the same length."
          )
      if not parameters:
          raise ValueError("`parameters` cannot be empty.")
      if all(x is None for x in updates):
          raise ValueError("No updates provided for any parameter.")
  
imports: from typing import Sequence
  from sonnet.src import types
  from sonnet.src.distribute import replicator
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: check_updates_parameters(updates, parameters) without return types