code: def _PopBackGrad(op: ops.Operation, dlist, delement):
      if dlist is None:
          dlist = empty_tensor_list(
              element_dtype=delement.dtype,
              element_shape=gen_list_ops.tensor_list_element_shape(
                  op.outputs[0], shape_type=dtypes.int32
              ),
          )
      if delement is None:
          delement = array_ops.zeros_like(op.outputs[1])
      return gen_list_ops.tensor_list_push_back(dlist, delement), None
  
imports: import numpy
  from tensorflow.core.framework import full_type_pb2
  from tensorflow.python.framework import cpp_shape_inference_pb2
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_list_ops
  from tensorflow.python.ops import handle_data_util
  from tensorflow.python.ops.gen_list_ops import *
label_desc: Use image node_id 14 for calling a global function with example usage: _PopBackGrad(op, dlist, delement) and returns: gen_list_ops,  None