code: def _backend_increment_gradient_accumulators(self, grads):
      acc_list = [v.value for v in self._accumulated_gradients]
      torch._foreach_add_(acc_list, grads, alpha=1.0)
  
file_path: keras/keras/backend/torch/optimizers/torch_parallel_optimizer.py
imports: import torch
  from keras.optimizers.base_optimizer import BaseOptimizer
  from keras.utils import torch_utils
label_desc: Use image node_id 3 for calling the TorchParallelOptimizer obj's underlying member method code with example usage: obj._backend_increment_gradient_accumulators(grads) without return types