Difference between revisions of "Tensorflow JNI development"
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} | } | ||
}</font> | }</font> | ||
+ | |||
+ | ==<font color='blue'>A few words on TF in Maven Central repository</font>== | ||
+ | |||
+ | ===libtensorflow=== | ||
+ | Record in pom.xml: | ||
+ | <dependency> | ||
+ | <groupId>org.tensorflow</groupId> | ||
+ | <artifactId>libtensorflow</artifactId> | ||
+ | <version>1.15.0</version> | ||
+ | </dependency> | ||
+ | |||
+ | Archive contains Java classes. | ||
+ | |||
+ | ===libtensorflow_jni_gpu=== | ||
+ | Record in pom.xml: | ||
+ | <dependency> | ||
+ | <groupId>org.tensorflow</groupId> | ||
+ | <artifactId>libtensorflow_jni_gpu</artifactId> | ||
+ | <version>1.14.0</version> | ||
+ | </dependency> | ||
+ | |||
+ | Archive contains native library: | ||
+ | ├── META-INF | ||
+ | │ ├── MANIFEST.MF | ||
+ | │ └── maven | ||
+ | │ └── org.tensorflow | ||
+ | │ └── libtensorflow_jni_gpu | ||
+ | │ ├── pom.properties | ||
+ | │ └── pom.xml | ||
+ | └── org | ||
+ | └── tensorflow | ||
+ | └── native | ||
+ | ├── linux-x86_64 | ||
+ | │ ├── '''libtensorflow_framework.so.1''' | ||
+ | │ ├── '''libtensorflow_jni.so''' | ||
+ | │ ├── LICENSE | ||
+ | │ └── THIRD_PARTY_TF_JNI_LICENSES | ||
+ | └── windows-x86_64 | ||
+ | ├── LICENSE | ||
+ | └── tensorflow_jni.dll |
Revision as of 09:01, 5 March 2020
Contents
About
Based on Build TensorFlow 2.0 for Java on Windows article. Also this one - tensorflow/java/README.md.
These instructions are for Linux and old TensorFlow 1.15.0.
How to:
- Build TF JNI - libtensorflow.jar, libtensorflow_jni.so and pom.xml
- Add TF JAR to local Maven which will override the Central Maven Repository
- Modify TF JNI functions
- Create Elipse project
There's JavaCPP Presets project. Seems useless.
Install
In Kubuntu:
- Get TensorFlow-1.15.0
- Install bazel 0.25.2
Based on Feeding Tensorflow from GPU.
Build
cd ~/git/tensorflow-1.15.0 ./configure # do not forget CUDA bazel build -c opt //tensorflow/java:tensorflow //tensorflow/java:libtensorflow_jni //tensorflow/java:pom
With TF, bazel tends to rebuild everything from scratch - takes a ton of time. Is it because it gets restarted after idle timeout or something else? A somewhat solution might be
At launch bazel starts its server which, to prevent it, add to ~/.bazelrc: startup --max_idle_secs=0
Artifacts of interest are in bazel-bin/tensorflow/java/:
libtensorflow_jni.so libtensorflow.jar pom.xml
- xml and jar will be taken care of by mvn command.
- so will have to be in the library path - set LD_LIBRARY_PATH or PATH or go "java -Djava.library.path"
Install JAR to local Maven Repository
~/GIT/tensorflow-1.15.0$ mvn install:install-file -Dfile=bazel-bin/tensorflow/java/libtensorflow.jar -DpomFile=bazel-bin/tensorflow/java/pom.xml
How to uninstall maven local repo - and switch back to official versions from Maven Central - this link. Or remove unneeded stuff from ~/.m2/repository/org/tensorflow
Modify TF JNI functions
For example, one wants to create a new function in org.tensorflow.TensorFlow package. Then see inside:
tensorflow/java/src/main/java/org/tensorflow/ tensorflow/java/src/main/native/
Three places:
- add native method to tensorflow/java/src/main/java/org/tensorflow/TensorFlow.java
- add to header file tensorflow/java/src/main/native/tensorflow_jni.h
- add to c file tensorflow/java/src/main/native/tensorflow_jni.cc
Rebuild and Reinstall.
The native header files seem to be regenerated but I haven't tested if they are actually used (need to test). In function naming - avoid underscores, e.g.:
Java_org_tensorflow_TensorFlow_<Name>
Java Maven project in Eclipse
Nothing special.
- Create a new maven project
- Edit pom.xml:
<project> ... <dependencies> ... <dependency> <groupId>org.tensorflow</groupId> <artifactId>libtensorflow</artifactId> <version>1.15.0</version> </dependency> ... </dependencies> ... </project>
Basic example code
tfhello.java:
import org.tensorflow.TensorFlow; public class tfhello{ public static void main(String[] args){ System.out.println(TensorFlow.version()); } }
A few words on TF in Maven Central repository
libtensorflow
Record in pom.xml:
<dependency> <groupId>org.tensorflow</groupId> <artifactId>libtensorflow</artifactId> <version>1.15.0</version> </dependency>
Archive contains Java classes.
libtensorflow_jni_gpu
Record in pom.xml:
<dependency> <groupId>org.tensorflow</groupId> <artifactId>libtensorflow_jni_gpu</artifactId> <version>1.14.0</version> </dependency>
Archive contains native library:
├── META-INF │ ├── MANIFEST.MF │ └── maven │ └── org.tensorflow │ └── libtensorflow_jni_gpu │ ├── pom.properties │ └── pom.xml └── org └── tensorflow └── native ├── linux-x86_64 │ ├── libtensorflow_framework.so.1 │ ├── libtensorflow_jni.so │ ├── LICENSE │ └── THIRD_PARTY_TF_JNI_LICENSES └── windows-x86_64 ├── LICENSE └── tensorflow_jni.dll