code: def _embedding_bag_grad(op, grads):
      indices, params, weights = op.inputs[:3]
      combiner = op.get_attr("combiner")
      (
          value_grads,
          weight_grads,
      ) = _embedding_bag_so.ops.addons_embedding_bag_grad(
          indices, params, weights, grads, combiner=combiner
      )
      return [None, value_grads, weight_grads]
  
file_path: addons/tensorflow_addons/layers/embedding_bag.py
imports: import tensorflow
  from typeguard import typechecked
  from tensorflow_addons.utils.types import Constraint, Initializer, Regularizer
  from tensorflow_addons.utils.resource_loader import LazySO
label_desc: Use image node_id 2 for calling a global function with example usage: _embedding_bag_grad(op, grads) and returns: list