如何使用TensorFlow的SavedModelBundle.Exporter导出模型以在Python中使用。
我已经创建了这个测试脚本：

try(Graph graph = new Graph()) {
        Ops tf = Ops.create(graph);

        Operand x = tf.constant(1);
        Operand y = tf.placeholder(TInt32.class);

        Operand sum = tf.math.add(x, y);

        try(Session session = new Session(graph)){

            Signature signature = Signature.builder().input("Input1", y).output("Output1", sum).build();
            SessionFunction function = SessionFunction.create(signature, session);
            SavedModelBundle.exporter("C:\\TFModel")
                    .withSession(session)
                    .withFunction(function)
                    .export();

        }
    }

    System.out.println("Done");

在java中创建模型时，这不会引发任何错误，但在将模型加载到Python中时，它会引发以下错误：

Traceback (most recent call last):
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\framework\ops.py", line 3939, in _as_graph_element_locked
    return op.outputs[out_n]
IndexError: list index out of range

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "D:\tensorflowJava\Builder.py", line 7, in <module>
    tf.saved_model.load(
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\saved_model\load.py", line 900, in load
    result = load_internal(export_dir, tags, options)["root"]
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\saved_model\load.py", line 958, in load_internal
    root = load_v1_in_v2.load(export_dir, tags)
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\saved_model\load_v1_in_v2.py", line 286, in load
    result = loader.load(tags=tags)
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\saved_model\load_v1_in_v2.py", line 268, in load
    signature_functions = self._extract_signatures(wrapped, meta_graph_def)
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\saved_model\load_v1_in_v2.py", line 176, in _extract_signatures
    signature_fn = wrapped.prune(feeds=feeds, fetches=fetches)
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\eager\wrap_function.py", line 325, in prune
    fetches = nest.map_structure(_fetch_preprocessing_callback, fetches)
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\util\nest.py", line 869, in map_structure
    structure[0], [func(*x) for x in entries],
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\util\nest.py", line 869, in <listcomp>
    structure[0], [func(*x) for x in entries],
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\eager\wrap_function.py", line 311, in _fetch_preprocessing_callback
    decoded = _get_element_from_tensor_info(fetch, self._func_graph)
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\eager\wrap_function.py", line 104, in _get_element_from_tensor_info
    return graph.as_graph_element(tensor_info.name)
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\framework\ops.py", line 3895, in as_graph_element
    return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
  File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\framework\ops.py", line 3941, in _as_graph_element_locked
    raise KeyError("The name %s refers to a Tensor which does not "
KeyError: "The name 'Init:0' refers to a Tensor which does not exist. The operation, 'Init', exists but only has 0 outputs."