code: def _check_embedding_and_slot_variables_for_adam(
      self, embedding_table_before, gradients, optimizer, variable
  ):
      embedding_table = np.copy(embedding_table_before)
      g = np.sum(gradients, axis=0)
      v = g**2 * (1 - optimizer.beta_2)
      m = g * (1 - optimizer.beta_1)
      epsilon = optimizer.epsilon
      # TPU Embeddings don't have the LR decay factor for Adam.
      lr_modifier = 1
      embedding_table -= (
          m
          * optimizer.learning_rate
          * lr_modifier
          / (np.sqrt(v) + epsilon)
      )
      self.assertAllClose(
          self._get_variable(variable["parameters"]).numpy(),
          embedding_table,
          rtol=1e-4,
      )
      self.assertAllClose(
          self._get_variable(variable["momenta"]).numpy(), m, rtol=1e-4
      )
      self.assertAllClose(
          self._get_variable(variable["velocities"]).numpy(),
          v,
          rtol=1e-4,
      )
  
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 19 for calling the TPUEmbeddingBaseTest obj's underlying member method code with example usage: obj._check_embedding_and_slot_variables_for_adam(embedding_table_before, gradients, optimizer, variable) without return types