return status->status.ok();
}

TF_ApiDefMap* TF_NewApiDefMap(TF_Buffer* op_list_buffer, TF_Status* status) {
  tensorflow::OpList op_list;
  if (!op_list.ParseFromArray(op_list_buffer->data, op_list_buffer->length)) {
    status->status = InvalidArgument("Unparseable OpList");
    return nullptr;
  }
  status->status = absl::OkStatus();
  return new TF_ApiDefMap(op_list);
}

  TF_OperationDescription* desc = TF_NewOperation(graph, "Split", name);
  TF_AddInput(desc, {zero, 0});
  TF_AddInput(desc, {input, 0});
  TF_SetAttrInt(desc, "num_split", 3);
  TF_SetAttrType(desc, "T", TF_INT32);
  // Set device to CPU since there is no version of split for int32 on GPU
  // TODO(iga): Convert all these helpers and tests to use floats because

       {{func_op, 0}, {func_op, 1}}, {{1, 2}, {5, 6}});
  VerifyFDef({"split3_const0", "split3_1"}, M({{"feed"}}),
             M({{"split3"}, {"split3_0"}}),
             {{"split3_const0:output:0", "split3_1:0"},
              {"feed", "split3_1:1"},
              {"split3_1:output:0", "split3"},
              {"split3_1:output:2", "split3_0"}},
             {});
}

    tensorflow::OpList op_list;
    EXPECT_TRUE(op_list.ParseFromArray(op_list_buf.data, op_list_buf.length));
    ASSERT_EQ(op_list.op_size(), 1);
    EXPECT_EQ("TestCApi1", op_list.op(0).name());
    TF_DeleteLibraryHandle(lib);
  }
#endif  // !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  {
    TF_Buffer* op_list_buffer = TF_GetAllOpList();
    tensorflow::OpList op_list;