code: def _is_tpu_strategy(strategy):
      return isinstance(
          strategy,
          (
              tpu_strategy.TPUStrategy,
              tpu_strategy.TPUStrategyV1,
              tpu_strategy.TPUStrategyV2,
          ),
      )
  
imports: from absl.testing import parameterized
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import central_storage_strategy
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import mirrored_strategy
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import test_util
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute.collective_all_reduce_strategy import CollectiveAllReduceStrategy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.platform import test
  from tensorflow.python.util import nest
label_desc: Use image node_id 3 for calling a global function with example usage: _is_tpu_strategy(strategy) and returns: isinstance