DJL运行报错

最新推荐文章于 2024-03-07 16:41:09 发布

原创最新推荐文章于 2024-03-07 16:41:09 发布 · 850 阅读

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#深度学习 #机器学习

文章讲述了用户在使用DJL库时遇到的初始化错误，涉及SLF4J和TensorFlow/MXNet引擎加载问题。通过逐步排查和调整Maven依赖，最终确定了正确的配置以解决运行错误。

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在首次运行DJL库时出现报错

Simulation progress : [ 0 SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
ai.djl.engine.EngineException: No deep learning engine found.
Please refer to https://github.com/deepjavalibrary/djl/blob/master/docs/development/troubleshooting.md for more details.
	at ai.djl.engine.Engine.getInstance(Engine.java:140)
	at ai.djl.Model.newInstance(Model.java:72)
	at ai.djl.Model.newInstance(Model.java:61)

进程已结束,退出代码0

跳转到GitHub文档的问题解释:

链接地址 https://github.com/deepjavalibrary/djl/blob/master/docs/development/troubleshooting.md

github里提出的两种解决方案:

打成胖包导致的问题
IntelliJ 和 Gradle 之间不匹配导致的

结果发现并不能解决我的问题

需要选择不同的本地库构建,如 Apache MXNet、PyTorch、TensorFlow 和 ONNX Runtime，

发现需要引用相关的引擎(ps:还是太天真了)

跳转链接
MXNet Engine
PyTorch Engine
TensorFlow Engine
ONNX Engine

里面介绍需要在Maven中添加依赖

       <dependency>
            <groupId>ai.djl.tensorflow</groupId>
            <artifactId>tensorflow-engine</artifactId>
            <version>0.25.0</version>
            <scope>runtime</scope>
        </dependency>

        <dependency>
            <groupId>ai.djl.tensorflow</groupId>
            <artifactId>tensorflow-native-auto</artifactId>
            <version>2.2.0</version>
        </dependency>

添加之后又有新的错误问题

Simulation progress : [ 0 Exception in thread "main" java.lang.ExceptionInInitializerError
	at ai.djl.tensorflow.engine.TfEngineProvider.getEngine(TfEngineProvider.java:36)
	at ai.djl.engine.Engine.initEngine(Engine.java:59)
	at ai.djl.engine.Engine.<clinit>(Engine.java:49)
	at ai.djl.Model.newInstance(Model.java:71)
	at ai.djl.Model.newInstance(Model.java:60)
	at examples.MyClass.DQNLearning.<init>(DQNLearning.java:93)
	...
Caused by: ai.djl.engine.EngineException: Failed to load TensorFlow native library
	at ai.djl.tensorflow.engine.TfEngine.newInstance(TfEngine.java:75)
	at ai.djl.tensorflow.engine.TfEngineProvider$InstanceHolder.<clinit>(TfEngineProvider.java:40)
	... 20 more
Caused by: java.lang.NoSuchMethodError: 'java.lang.String ai.djl.util.Utils.getEnvOrSystemProperty(java.lang.String)'
	at ai.djl.tensorflow.engine.javacpp.LibUtils.findOverrideLibrary(LibUtils.java:72)
	at ai.djl.tensorflow.engine.javacpp.LibUtils.getLibName(LibUtils.java:64)
	at ai.djl.tensorflow.engine.javacpp.LibUtils.loadLibrary(LibUtils.java:48)
	at ai.djl.tensorflow.engine.TfEngine.newInstance(TfEngine.java:53)

我认为是是模型库没有这个方法的实现
我又将Maven换为

        <dependency>
            <groupId>ai.djl.mxnet</groupId>
            <artifactId>mxnet-native-auto</artifactId>
            <version>1.7.0-backport</version>
            <scope>runtime</scope>
        </dependency>

        <dependency>
            <groupId>ai.djl</groupId>
            <artifactId>basicdataset</artifactId>
            <version>0.8.0</version>
        </dependency>

        <dependency>
            <groupId>ai.djl</groupId>
            <artifactId>model-zoo</artifactId>
            <version>0.8.0</version>
        </dependency>

之后报错就变为了(PS难受啊)

Exception in thread "main" java.lang.NoSuchMethodError: 'ai.djl.Device ai.djl.Device.defaultIfNull(ai.djl.Device)'
	at ai.djl.mxnet.engine.MxModel.<init>(MxModel.java:64)
	at ai.djl.mxnet.engine.MxEngine.newModel(MxEngine.java:88)
	at ai.djl.Model.newInstance(Model.java:71)
	at ai.djl.Model.newInstance(Model.java:60)
	at com.mechalikh.pureedgesim.simulationmanager.DefaultSimulationManager.processEvent(DefaultSimulationManager.java:178)
	at com.mechalikh.pureedgesim.simulationengine.PureEdgeSim.processEvent(PureEdgeSim.java:178)
	at com.mechalikh.pureedgesim.simulationengine.PureEdgeSim.processFutureEventsHappeningAtSameTimeOfTheFirstOne(PureEdgeSim.java:158)
	at com.mechalikh.pureedgesim.simulationengine.PureEdgeSim.runClockTickAndProcessFutureEvents(PureEdgeSim.java:133)
	at com.mechalikh.pureedgesim.simulationengine.PureEdgeSim.start(PureEdgeSim.java:106)
	at com.mechalikh.pureedgesim.simulationmanager.DefaultSimulationManager.startSimulation(DefaultSimulationManager.java:106)
	at com.mechalikh.pureedgesim.simulationmanager.SimulationThread.startSimulation(SimulationThread.java:137)
	at com.mechalikh.pureedgesim.simulationmanager.Simulation.launchSimulation(Simulation.java:158)
	at examples.Example8.main(Example8.java:69)

经过不断奋斗

将maven文件换成如下就可以正确运行–问题解决

 <dependency>
            <groupId>ai.djl</groupId>
            <artifactId>api</artifactId>
            <version>0.8.0</version>
        </dependency>

        <dependency>
            <groupId>ai.djl.mxnet</groupId>
            <artifactId>mxnet-engine</artifactId>
            <version>0.8.0</version>
        </dependency>

        <dependency>
            <groupId>ai.djl.mxnet</groupId>
            <artifactId>mxnet-native-auto</artifactId>
            <version>1.7.0-backport</version>
        </dependency>

        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-api</artifactId>
            <version>1.7.26</version>
        </dependency>

        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-simple</artifactId>
            <version>1.7.26</version>
        </dependency>

        <dependency>
            <groupId>net.java.dev.jna</groupId>
            <artifactId>jna</artifactId>
            <version>5.3.0</version>
        </dependency>

        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.11</version>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>ai.djl</groupId>
            <artifactId>basicdataset</artifactId>
            <version>0.8.0</version>
        </dependency>

        <dependency>
            <groupId>ai.djl</groupId>
            <artifactId>model-zoo</artifactId>
            <version>0.8.0</version>
        </dependency>

        <dependency>
            <groupId>commons-cli</groupId>
            <artifactId>commons-cli</artifactId>
            <version>1.4</version>
        </dependency>