code: def __init__(self):
      super().__init__(name="CustomOptimizer")
      self._resource_apply_dense = tf.function(
          self._resource_apply_dense
      )
      self._resource_apply_sparse = tf.function(
          self._resource_apply_sparse
      )
  
imports: import logging
  import operator
  import os
  import shutil
  import sys
  from itertools import chain
  import numpy
  import tensorflow
  import tensorflow.keras.backend
  import wandb
  from wandb.sdk.integration_utils.data_logging import ValidationDataLogger
  from wandb.sdk.lib.deprecate import Deprecated, deprecate
  from wandb.util import add_import_hook
label_desc: Use image node_id 1 to create a new _CustomOptimizer object from inherited base classes: _custom_optimizer_parent_class with example: obj = _CustomOptimizer()