Still able to access raw tensor data after close() is called

首先追踪所提供复现中涉及的入口点 Tensor.close() 和 Tensor.asRawTensor().data()，包括 ConcreteFunction.close() 的生命周期。确认在 output.close() 后访问原始数据会产生预期的 IllegalStateException；如果找到相关测试，则为此行为添加或更新覆盖率。

System information

• Have I written custom code: see simple test case below to reproduce
• OS Platform and Distribution: Windows 10, 64-bit operating system, x64-based processor
• TensorFlow installed from (source or binary): binary via Maven
• TensorFlow version: v0.4.1
• Java version (i.e., the output of java -version): AdoptOpenJDK-11.0.11+9
• Java command line flags (e.g., GC parameters): N/A
• CUDA/cuDNN version: N/A - using pure CPU version
• GPU model and memory: N/A - using pure CPU version

Describe the current behavior
After closing a tensor output from a concrete function (and the concrete function itself), am still able to access the tensor's raw data.

Describe the expected behavior
Expect an IllegalStateException when accessing the raw tensor data because close() was already called on the tensor.

Code to reproduce the issue

// Create simple (a + b) function
ConcreteFunction addTwoInts = ConcreteFunction.create((tf) -> {
    Placeholder<TInt32> inputA = tf.placeholder(TInt32.class);
    Placeholder<TInt32> inputB = tf.placeholder(TInt32.class);
    Add<TInt32> output = tf.math.add(inputA, inputB);
    return Signature.builder().key("add")
            .input("a", inputA)
            .input("b", inputB)
            .output("out", output)
            .build();
});

// Apply to input
Map<String, Tensor> input = Map.of(
        "a", TInt32.scalarOf(1),
        "b", TInt32.scalarOf(2));
Tensor output = addTwoInts.call(input).get("out");

// Close everything
addTwoInts.close();
output.close();

// Expect java.lang.IllegalStateException: close() was called on the Tensor
output.asRawTensor().data();  // However, no exception is thrown here

Have recently upgraded from v0.2.0, where the same test case setup would throw the excepted exception.