code: def _check_embedding_and_slot_variables_for_sgd(
      self, embedding_table_before, gradients, optimizer, variables
  ):
      embedding_table = np.copy(embedding_table_before)
      embedding_table -= optimizer.learning_rate * np.sum(
          gradients, axis=0
      )
      self.assertAllClose(
          self._get_variable(variables["parameters"]).numpy(),
          embedding_table,
      )
  
imports: import os
  from typing import Tuple
  from absl import flags
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute.cluster_resolver import tpu_cluster_resolver
  from tensorflow.python.eager import remote
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  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.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import tpu_embedding_v2
  from tensorflow.python.tpu import tpu_embedding_v2_utils
  from tensorflow.python.util import nest
label_desc: Use image node_id 16 for calling the TPUEmbeddingBaseTest obj's underlying member method code with example usage: obj._check_embedding_and_slot_variables_for_sgd(embedding_table_before, gradients, optimizer, variables) without return types