ivy dependency not working on windows or linux, native TF code not found on classpath
Dieses Issue hat noch niemand übernommen.
Bewertung
- Schwierigkeit
- 4/5
- Geschätzter Aufwand
- 3-5 Tage
- Anfängerfreundlichkeit
- 35/100
- Issue-Typ
- Bug
- Klarheit
- Größtenteils klar
- Aktivitätsstatus
- Veraltet
- Tech-Stack
- java
- Bereich
- build-system
Rechercherichtung
Beginnen Sie mit den Ivy-Abhängigkeitserklärungen und den drei aufgeführten TensorFlow-0.4.2-JARs und folgen Sie dann dem Stacktrace von org.tensorflow.NativeLibrary.load durch org.bytedeco.javacpp.Loader.load. Prüfen Sie, warum die plattformspezifischen nativen Artefakte org.tensorflow.internal.c_api nicht im Classpath bereitstellen. Als erledigt gilt die Aufgabe, wenn die erforderlichen nativen Abhängigkeiten für die gemeldeten Plattformen aufgelöst werden und die Initialisierung von SavedModelBundle keine ClassNotFoundException mehr auslöst.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Beschreibung
Please make sure that this is a build/installation issue. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:build_template
System information
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04 x86_64): Linux Ubuntu 23.04_ x86_64
- TensorFlow installed from (source or binary): binary
- TensorFlow version: 0.4.2
- Java version (i.e., the output of
java -version): 1.8.1 - Java command line flags (e.g., GC parameters):
- Installed from Maven Central?: Yes, via ivy
- Bazel version (if compiling from source):
- GCC/Compiler version (if compiling from source):
- CUDA/cuDNN version:
- GPU model and memory:
Describe the problem
I'm trying to use tensorflow 2 with ivy.xml in java project. The problem is that the maven download is not complete. It only downloads either 1. no native platform, or 2. if I specify 2 platforms (windows and linux), it only downloads one of them. AND 3. when I manually download the relevant jars, it cannot find the native hooks.
Provide the exact sequence of commands / steps that you executed before running into the problem
I first tried ivy using these dependencies in various combinations, each time making sure to delete existing tensorflow jars from my ivy local cache folder:
<dependency org="org.tensorflow" name="tensorflow-core-api" rev="0.4.2" m:classifier="linux-x86_64-gpu"/>
<dependency org="org.tensorflow" name="tensorflow-core-api" rev="0.4.2" m:classifier="windows-x86_64-gpu"/>
<dependency org="org.tensorflow" name="tensorflow-core-api" rev="0.4.2"/>
Since this did not work (I never got the full set of native jars), I downloaded the jars and put them in my local project jars folder, which is on the classpath.
jars/tensorflow-core-api-0.4.2.jar
jars/tensorflow-core-api-0.4.2-linux-x86_64-gpu.jar
jars/tensorflow-core-api-0.4.2-windows-x86_64-gpu.jar
These jars are added to the project classpath in netbeans 8.2 project dialog
Any other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.
Here is the log output:
WARNING: java.lang.NoClassDefFoundError: java.lang.ClassNotFoundException: org.tensorflow.internal.c_api
at org.bytedeco.javacpp.Loader.load(Loader.java:918)
at org.bytedeco.javacpp.Loader.load(Loader.java:870)
at org.tensorflow.NativeLibrary.load(NativeLibrary.java:48)
at org.tensorflow.TensorFlow.<clinit>(TensorFlow.java:156)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:264)
at org.tensorflow.SavedModelBundle.<clinit>(SavedModelBundle.java:651)
at net.sf.jaer.eventprocessing.filter.MLPNoiseFilter.loadNetwork(MLPNoiseFilter.java:720)
at net.sf.jaer.eventprocessing.filter.MLPNoiseFilter.initFilter(MLPNoiseFilter.java:550)
at net.sf.jaer.eventprocessing.filter.NoiseTesterFilter.initFilter(NoiseTesterFilter.java:1073)
at net.sf.jaer.eventprocessing.FilterChain.initFilters(FilterChain.java:454)
at net.sf.jaer.graphics.AEViewer.setChip(AEViewer.java:5863)
at net.sf.jaer.graphics.AEViewer.constructChip(AEViewer.java:1020)
at net.sf.jaer.graphics.AEViewer.setAeChipClass(AEViewer.java:928)
at net.sf.jaer.graphics.AEViewer.<init>(AEViewer.java:520)
at net.sf.jaer.JAERViewer$RunningThread.run(JAERViewer.java:231)
at java.awt.event.InvocationEvent.dispatch(InvocationEvent.java:311)
at java.awt.EventQueue.dispatchEventImpl(EventQueue.java:756)
at java.awt.EventQueue.access$500(EventQueue.java:97)
at java.awt.EventQueue$3.run(EventQueue.java:709)
at java.awt.EventQueue$3.run(EventQueue.java:703)
at java.security.AccessController.doPrivileged(Native Method)
at java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(ProtectionDomain.java:76)
at java.awt.EventQueue.dispatchEvent(EventQueue.java:726)
at java.awt.EventDispatchThread.pumpOneEventForFilters(EventDispatchThread.java:201)
at java.awt.EventDispatchThread.pumpEventsForFilter(EventDispatchThread.java:116)
at java.awt.EventDispatchThread.pumpEventsForHierarchy(EventDispatchThread.java:105)
at java.awt.EventDispatchThread.pumpEvents(EventDispatchThread.java:101)
at java.awt.EventDispatchThread.pumpEvents(EventDispatchThread.java:93)
at java.awt.EventDispatchThread.run(EventDispatchThread.java:82)
Caused by: java.lang.ClassNotFoundException: org.tensorflow.internal.c_api
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.bytedeco.javacpp.Loader.load(Loader.java:913)
... 29 more
Here is the screenshot showing contents of the linux native jar:
- Vorherrschende Sprache
- Java
- Sterne
- 928
- Forks
- 227
- PR-Merge-Kennzahlen
- Keine gemergten PRs in 30 T.
Beitragsleitfaden
Erste Schritte
- Lesen Sie das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreiben Sie ins Issue, dass Sie es übernehmen — das erspart doppelte Arbeit.
- Forken Sie das Repository und arbeiten Sie in einem Branch.
- Öffnen Sie einen Pull Request, der die Issue-Nummer nennt.
Mehr aus tensorflow/java
-
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 65/100
tensorflow/java#653 · 1 Kommentar · 4 Reaktionen ·
-
Schwierigkeit 5/5 Über eine Woche Anfängerfreundlichkeit 25/100
tensorflow/java#621 · 4 Kommentare ·
-
Schwierigkeit 5/5 Über eine Woche Anfängerfreundlichkeit 25/100
tensorflow/java#617 · 3 Kommentare ·
-
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 55/100
tensorflow/java#615 · 1 Kommentar ·
-
Schwierigkeit 5/5 Über eine Woche Anfängerfreundlichkeit 25/100
tensorflow/java#614 · 1 Kommentar ·
Alle Issues in tensorflow/java
Ähnliche Issues
-
documentation
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 65/100
inu-appcenter/memorIN-backend#288 ·
-
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 65/100
-
frontend maui-pilot pilot-ask question
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 75/100
-
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 75/100
-
executions.Query — startDate and timeRange filters are sent with inverted comparison operators Offenarea/plugin
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 75/100
kestra-io/plugin-kestra#190 ·