code: def process_inputs(op_name, producer_version, keywords):
      """Helper method to speed up `_apply_op_helper` in op_def_library."""
      (
          attr_protos,
          inputs,
          input_types,
          output_structure,
      ) = _op_def_library_pybind.process_inputs(
          op_name, producer_version, keywords
      )
      for k, attr in attr_protos.items():
          attr_protos[k] = attr_value_pb2.AttrValue.FromString(attr)
      return attr_protos, inputs, input_types, output_structure
  
imports: from tensorflow.python import pywrap_tensorflow
  from tensorflow.python.framework import _op_def_library_pybind
  from tensorflow.core.framework import attr_value_pb2
label_desc: Use image node_id 1 for calling a global function with example usage: process_inputs(op_name, producer_version, keywords) and returns: attr_protos,  inputs,  input_types,  output_structure