code: def test_spmd_variable_read(self):
      batch_size = 32
      num_feature_in = 16
      num_feature_out = 8
  
      x = random_ops.random_uniform(
          (batch_size, num_feature_in), dtype=dtypes.float32
      )
      w_init = random_ops.random_uniform(
          (num_feature_in, num_feature_out), dtype=dtypes.float32
      )
  
      strategy, num_replicas = get_tpu_strategy(enable_spmd=True)
      with strategy.scope():
          w = variables.Variable(w_init, dtype=dtypes.float32)
  
      self.assertEqual(
          w.values[0].variables[0].shape.as_list(),
          [num_feature_in, num_feature_out],
      )
  
      self.assertEqual(
          w.shape.as_list(), [num_feature_in, num_feature_out]
      )
  
      def step_fn(batch_features):
          predict = math_ops.matmul(batch_features, w)
          return predict
  
      @def_function.function
      def train_fn(batch_features):
          return strategy.run(step_fn, args=(batch_features,))
  
      result = train_fn(x)
      self.assertAllClose(
          strategy.reduce("SUM", result, axis=None),
          math_ops.matmul(x, w_init) * num_replicas,
          rtol=5e-03,
          atol=5e-03,
      )
  
imports: import os
  from absl.testing import parameterized
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_management
  from tensorflow.python.compiler.xla.experimental import xla_sharding
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import packed_distributed_variable
  from tensorflow.python.distribute import strategy_test_lib
  from tensorflow.python.distribute import tpu_replicated_variable
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute import tpu_values
  from tensorflow.python.distribute.cluster_resolver import tpu_cluster_resolver
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import remote
  from tensorflow.python.eager import test
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import summary_test_util
  from tensorflow.python.module import module
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import summary_ops_v2
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import flags
  from tensorflow.python.tpu import device_assignment
  from tensorflow.python.tpu import tpu_replication
label_desc: Use image node_id 6 for calling the TPUStrategyModelParallelismTest obj's underlying member method code with example usage: obj.test_spmd_variable_read() and returns: predict, strategy