EXPECT_EQ(TF_INT32, TF_OperationInputType(TF_Input{add, 0}));
  EXPECT_EQ(TF_INT32, TF_OperationInputType(TF_Input{add, 1}));
  TF_Output add_in_0 = TF_OperationInput(TF_Input{add, 0});
  EXPECT_EQ(feed, add_in_0.oper);
  EXPECT_EQ(0, add_in_0.index);
  TF_Output add_in_1 = TF_OperationInput(TF_Input{add, 1});
  EXPECT_EQ(three, add_in_1.oper);
  EXPECT_EQ(0, add_in_1.index);
  EXPECT_EQ(0, TF_OperationOutputNumConsumers(TF_Output{add, 0}));

                                                      TF_Status* status);

// In this code:
//   TF_Output producer = TF_OperationInput(consumer);
// There is an edge from producer.oper's output (given by
// producer.index) to consumer.oper's input (given by consumer.index).
TF_CAPI_EXPORT extern TF_Output TF_OperationInput(TF_Input oper_in);

// Get list of all inputs of a specific operation.  `inputs` must point to

  if (iter == name_ranges.end()) {
    status->status = InvalidArgument("Input arg '", arg_name, "' not found");
    return -1;
  }
  return iter->second.second - iter->second.first;
}

TF_Output TF_OperationInput(TF_Input oper_in) {
  const tensorflow::Edge* edge;
  Status s = oper_in.oper->node.input_edge(oper_in.index, &edge);
  if (!s.ok()) {
    return {nullptr, -1};
  }