code: def _get_strategy(self) -> tpu_strategy.TPUStrategy:
      topology = self._init_tpu_system()
  
      d_assign = device_lib.device_assignment(
          topology,
          computation_shape=[1, 1, 1, 2],
          num_replicas=1,
      )
  
      self.strategy = tpu_strategy.TPUStrategyV2(
          self.resolver,
          experimental_device_assignment=d_assign,
          experimental_spmd_xla_partitioning=True,
      )
  
      self.embedding_devices = sum(
          (
              list(replica)
              for replica in self.strategy.extended._tpu_devices
          ),
          [],
      )
  
      return self.strategy
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import init_ops_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import device_assignment
  from tensorflow.python.tpu import tpu_embedding_v2
  from tensorflow.python.tpu import tpu_embedding_v2_utils
  from tensorflow.python.tpu.tests import tpu_embedding_base_test
label_desc: Use image node_id 2 for calling the TPUEmbeddingTPUStrategyV2Test obj's underlying member method code with example usage: obj._get_strategy() and returns: self