jvmArgumentProviders.add(CommandLineArgumentProvider {
        //allow ProjectBuilder to inject legacy types into the system classloader
        if (testVersionProvider.get().canCompileOrRun(9)) {
            listOf("--add-opens", "java.base/java.lang=ALL-UNNAMED")
        } else {
            emptyList()
        }
    })
    jvmArgumentProviders.add(CommandLineArgumentProvider {
        val testVersion = testVersionProvider.get()

bool GetGraphDef(TF_Graph* graph, tensorflow::GraphDef* graph_def);

bool GetNodeDef(TF_Operation* oper, tensorflow::NodeDef* node_def);

bool GetFunctionDef(TF_Function* func, tensorflow::FunctionDef* func_def);

bool GetAttrValue(TF_Operation* oper, const char* attr_name,
                  tensorflow::AttrValue* attr_value, TF_Status* s);

### Cache the OpenAPI schema { #cache-the-openapi-schema }

You can use the property `.openapi_schema` as a "cache", to store your generated schema.

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

{* ../../docs_src/extending_openapi/tutorial001_py39.py hl[13:14,25:26] *}