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 os
  from absl.testing import parameterized
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import strategy_test_lib
  from tensorflow.python.distribute import test_util
  from tensorflow.python.distribute import tpu_values
  from tensorflow.python.distribute import values
  from tensorflow.python.eager import context
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.training import saver
label_desc: Use image node_id 3 for calling a global function with example usage: mirrored_and_tpu_strategy_combinations() and returns: combinations