code: def _backend_increment_gradient_accumulators(self, grads):
      new_g_accs = [
          (grads[i] + self._accumulated_gradients[i])
          for i in range(len(grads))
      ]
      for n_g_acc, g_acc in zip(
          new_g_accs, self._accumulated_gradients
      ):
          g_acc.assign(n_g_acc)
  
imports: import re
  import warnings
  import numpy
  from keras import backend
  from keras import initializers
  from keras import ops
  from keras.optimizers.schedules import learning_rate_schedule
  from keras.saving import serialization_lib
  from keras.utils import tracking
  from keras.utils.naming import auto_name
label_desc: Use image node_id 19 for calling the BaseOptimizer obj's underlying member method code with example usage: obj._backend_increment_gradient_accumulators(grads) without return types