code: def make_gradient_clipvalue_fn(clipvalue):
      """Creates a gradient transformation function for clipping by value."""
      if clipvalue is None:
          return lambda grads_and_vars: grads_and_vars
  
      def gradient_clipvalue_fn(grads_and_vars):
          if isinstance(
              distribute_lib.get_strategy(),
              (
                  central_storage_strategy.CentralStorageStrategy,
                  central_storage_strategy.CentralStorageStrategyV1,
              ),
          ):
              raise ValueError(
                  "`clipvalue` is not supported with `CenteralStorageStrategy`"
              )
  
          clipped_grads_and_vars = [
              (clip_ops.clip_by_value(g, -clipvalue, clipvalue), v)
              for g, v in grads_and_vars
          ]
          return clipped_grads_and_vars
  
      return gradient_clipvalue_fn
  
file_path: tensorflow-upstream/tensorflow/python/keras/optimizer_v2/utils.py
imports: from tensorflow.python.distribute import central_storage_strategy
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import reduce_util
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 5 for calling a global function with example usage: make_gradient_clipvalue_fn(clipvalue) and returns: gradient_clipvalue_fn, function, clipped_grads_and_vars