code: def mirrored_and_tpu_strategy_combinations():
      return combinations.combine(
          distribution=[
              strategy_combinations.mirrored_strategy_with_gpu_and_cpu,
              strategy_combinations.mirrored_strategy_with_two_gpus_no_merge_call,
              strategy_combinations.tpu_strategy,
              strategy_combinations.tpu_strategy_packed_var,
          ],
          mode=["graph", "eager"],
      )
  
imports: import copy
  import os
  from absl.testing import parameterized
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_options
  from tensorflow.python.distribute import collective_all_reduce_strategy
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import distribute_utils
  from tensorflow.python.distribute import packed_distributed_variable
  from tensorflow.python.distribute import parameter_server_strategy
  from tensorflow.python.distribute import ps_values
  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 import values
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.saved_model import save
  from tensorflow.python.saved_model import save_context
  from tensorflow.python.saved_model import save_options
  from tensorflow.python.types import core
label_desc: Use image node_id 3 for calling a global function with example usage: mirrored_and_tpu_strategy_combinations() and returns: combinations