[CI][MS][LITE][java]云测推理三合一版本，模型编译失败

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Bug Report	Use this template for reporting a bug	kind/bug

Describe the current behavior / 问题描述 (Mandatory / 必填)

云测推理三合一版本，模型编译失败，涉及model接口和runner接口

Environment / 环境信息 (Mandatory / 必填)

Hardware Environment(Ascend/GPU/CPU) / 硬件环境:

Please delete the backend not involved / 请删除不涉及的后端:
/device ascend/GPU/CPU

Software Environment / 软件环境 (Mandatory / 必填):
-- MindSpore version (e.g., 1.7.0.Bxxx) :
-- Python version (e.g., Python 3.7.5) :
-- OS platform and distribution (e.g., Linux Ubuntu 16.04):
-- GCC/Compiler version (if compiled from source):
Excute Mode / 执行模式 (Mandatory / 必填)(PyNative/Graph):

Please delete the mode not involved / 请删除不涉及的模式:

Related testcase / 关联用例 (Mandatory / 必填)

public void testBasicModelPredictTest() {
        System.out.println(Version.version());
        System.out.println("---start run JavaApiModelPredictTensor#testBasicModelPredictCreateTensor004----");

        System.out.println("===================setcontext===================");
        MSContext context = new MSContext();
        context.init();
        boolean ret1 = context.addDeviceInfo(DeviceType.DT_CPU, false);
        Assert.assertTrue("init CPU context failed", ret1);

        String modelPath = "./data/ml_video_edit_reid.mindir";
        System.out.println("modelPath" + modelPath);

        // Create the MindSpore lite session.
        Model model = new Model();
        // Compile graph.
        System.out.println("==========model build by byteBuffer==========");
        boolean build_ret = model.build(modelPath, ModelType.MT_MINDIR, context);
        Assert.assertTrue("model build failed", build_ret);
    }

Steps to reproduce the issue / 重现步骤 (Mandatory / 必填)

模型转化生成mindir模型
设置环境变量，链接mindspore-lite-java.jar
执行推理

Describe the expected behavior / 预期结果 (Mandatory / 必填)

模型编译成功

Related log / screenshot / 日志 / 截图 (Mandatory / 必填)

MindSpore Lite 2.2.0.20230905
---start run JavaApiModelPredictTensor#testBasicModelPredictCreateTensor004----
===================setcontext===================
Sep 06, 2023 3:28:01 PM com.mindspore.config.MindsporeLite <clinit>
INFO: MindsporeLite init ...
Sep 06, 2023 3:28:01 PM com.mindspore.config.MindsporeLite init
INFO: MindsporeLite init load ...
Sep 06, 2023 3:28:01 PM com.mindspore.config.NativeLibrary load
INFO: Native lib has been loaded.
Sep 06, 2023 3:28:01 PM com.mindspore.config.MindsporeLite init
INFO: MindsporeLite init load ...
Sep 06, 2023 3:28:01 PM com.mindspore.config.NativeLibrary load
INFO: Native lib has been loaded.
modelPath./data/ml_video_edit_reid.mindir
Sep 06, 2023 3:28:01 PM com.mindspore.config.MindsporeLite init
INFO: MindsporeLite init load ...
Sep 06, 2023 3:28:01 PM com.mindspore.config.NativeLibrary load
INFO: Native lib has been loaded.
==========model build by byteBuffer==========
[ERROR] ME(14522,7fb8a83a7700,java):2023-09-06-15:28:01.160.401 [mindspore/lite/src/extendrt/cxx_api/dlutils.h:38] FindFileWithRecursion] Can't open dir /tmp/mindspore_lite_libs-1693985279861-0/
[ERROR] ME(14522,7fb8a83a7700,java):2023-09-06-15:28:01.160.456 [mindspore/lite/src/extendrt/delegate/plugin/litert_executor_plugin.cc:52] Register] Get real path of libmsplugin-ge-litert.so failed.
[WARNING] ME(14522,7fb8a83a7700,java):2023-09-06-15:28:01.160.463 [mindspore/lite/src/extendrt/infer_session.cc:98] HandleContext] Failed to register LiteRT plugin
[ERROR] ME(14522,7fb8a83a7700,java):2023-09-06-15:28:01.160.475 [mindspore/lite/src/extendrt/cxx_api/model/model_impl.cc:361] BuildByBufferImpl] Create session failed.
Tests run: 1, Failures: 1, Errors: 0, Skipped: 0, Time elapsed: 2.338 sec <<< FAILURE!
testBasicModelPredictTest(predict.JavaApiModelPredictModel)  Time elapsed: 2.301 sec  <<< FAILURE!
junit.framework.AssertionFailedError: model build failed
        at junit.framework.Assert.fail(Assert.java:50)
        at junit.framework.Assert.assertTrue(Assert.java:20)
        at predict.JavaApiModelPredictModel.testBasicModelPredictTest(JavaApiModelPredictModel.java:2055)
        at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.base/java.lang.reflect.Method.invoke(Method.java:566)
        at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:45)
        at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
        at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:42)
        at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20)
        at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:263)
        at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:68)
        at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
        at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
        at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
        at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
        at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
        at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
        at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
        at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:242)
        at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:137)
        at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:112)
        at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.base/java.lang.reflect.Method.invoke(Method.java:566)
        at org.apache.maven.surefire.util.ReflectionUtils.invokeMethodWithArray(ReflectionUtils.java:189)
        at org.apache.maven.surefire.booter.ProviderFactory$ProviderProxy.invoke(ProviderFactory.java:165)
        at org.apache.maven.surefire.booter.ProviderFactory.invokeProvider(ProviderFactory.java:85)
        at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:115)
        at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:75)

ERROR [rc/main/native/model.cpp:207] Java_com_mindspore_Model_buildByPath] Error status -1 during build of model

Results :

Failed tests:   testBasicModelPredictTest(predict.JavaApiModelPredictModel): model build failed

Tests run: 1, Failures: 1, Errors: 0, Skipped: 0

[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE

Special notes for this issue/备注 (Optional / 选填)

经验证，是 !58401:修改文件权限/commits pr 修改并删除了文件路径导致 @liyan2022

问题定位：java安全加固引入bug
解决方案：回退NativeLibrary修改
自验证：执行quick_start demo，java -classpath .:./quick_start_java.jar:../lib/runtime/lib/mindspore-lite-java.jar com.mindspore.lite.demo.Main ../model/mobilenetv2.mindir
INFO: MindsporeLite init load ...
Sep 08, 2023 6:15:22 PM com.mindspore.config.NativeLibrary load
INFO: Native lib has been loaded.
out tensor shape: [1,1000,] and out data: 5.745378E-5 4.348891E-4 2.7509136E-4 3.3520907E-4 2.0523855E-4 8.615933E-5 2.850987E-4 3.4422355E-4 2.6371836E-4 1.8769536E-4 0.001186035 0.0044549885 0.002421445 0.0014953972 0.0031599305 0.0014962341 9.349183E-4 7.650274E-4 7.184983E-4 0.0016344071 5.56566E-4 0.0014625326 9.538155E-4 0.0014910052 3.628842E-4 1.3411745E-4 2.6625494E-4 4.1056113E-4 1.718681E-4 5.3932855E-4 2.1607644E-4 0.0011068425 1.10420835E-4 5.695535E-4 7.9346943E-4 3.3240754E-4 2.9004124E-4 3.392395E-4 0.002336384 5.050907E-4 0.001235955 6.7540864E-4 6.101409E-4 6.4389367E-4 6.0547673E-4 3.651128E-4 0.0015801868 2.0811782E-4 7.7402365E-5 8.9966205E-5

是否需要补充ST/UT：否
原因：java云侧版本已添加基本功能用例，这个模块功能单一，代码基本固定不会变，无需再添加用例。

回归通过

GVP MindSpore / mindspore

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