Linux ARM : aarch64 : CPU : Issue : Caused by: java.lang.UnsatisfiedLinkError: no tensorflow_cc in java.library.path

[santosa-malika]

Added below Two Dependency in my java project , when we run the project in Linux ARM : aarch64 : CPU we are getting UnsatisfiedLinkError issue .

Dependency Added in Project

          <dependency>
		<groupId>org.tensorflow</groupId>
		<artifactId>tensorflow-core-api</artifactId>
		<version>0.3.1</version>
	</dependency>

	<dependency>
		<groupId>org.tensorflow</groupId>
		<artifactId>tensorflow-core-platform</artifactId>
		<version>0.3.1</version>
	</dependency>

Issue :
Warning: Could not load Loader: java.lang.UnsatisfiedLinkError: no jnijavacpp in java.library.path
Exception in thread "main" java.lang.UnsatisfiedLinkError: no jnitensorflow in java.library.path
at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1860)
at java.lang.Runtime.loadLibrary0(Runtime.java:870)
at java.lang.System.loadLibrary(System.java:1124)
at org.bytedeco.javacpp.Loader.loadLibrary(Loader.java:1683)
at org.bytedeco.javacpp.Loader.load(Loader.java:1300)
at org.bytedeco.javacpp.Loader.load(Loader.java:1123)
at org.tensorflow.internal.c_api.global.tensorflow.(tensorflow.java:12)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.bytedeco.javacpp.Loader.load(Loader.java:1190)
at org.bytedeco.javacpp.Loader.load(Loader.java:1139)
at org.tensorflow.NativeLibrary.load(NativeLibrary.java:48)
at org.tensorflow.TensorFlow.init(TensorFlow.java:111)
at org.tensorflow.TensorFlow.(TensorFlow.java:126)
at org.tensorflow.Graph.(Graph.java:849)
at com.huawei.search.nlp.lang.th.TensorFlowTest.main(TensorFlowTest.java:28)
Caused by: java.lang.UnsatisfiedLinkError: no tensorflow_cc in java.library.path
at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1860)
at java.lang.Runtime.loadLibrary0(Runtime.java:870)
at java.lang.System.loadLibrary(System.java:1124)
at org.bytedeco.javacpp.Loader.loadLibrary(Loader.java:1683)
at org.bytedeco.javacpp.Loader.load(Loader.java:1227)

Please help and guide how to solve this issue in Linux ARM .
i have checked in Windows and Linux X86 CPU its working fine

[Craigacp]

We don't provide binaries for ARM64. You should be able to compile them from source yourself on Linux, but it will take a while.

[santosa-malika]

Could you please provide some reference and guide to build the ARM binary . Thanks for quick response

[Craigacp]

I believe there are ARM64 binaries for JavaCPP, so it's mainly compiling TensorFlow. To do that check out this project, install the right version of bazel & maven, then run mvn clean install with an internet connection (either non-proxied or with the proxy configured appropriately), and leave it alone for around 2-4 hours depending on how fast your machine is. We have some guidance on building from source here - https://github.com/tensorflow/java/blob/master/CONTRIBUTING.md#building.

I haven't tried to do this yet as I'm still waiting to get access to a Linux ARM64 box, so there might be some juggling of the bazel arguments in tensorflow-core/tensorflow-core-api/{.bazelrc,build.sh} necessary.

[saudet]

Google doesn't support builds of TF Core for ARM. The closest thing you'll get for free "support" is probably this:
https://github.com/lhelontra/tensorflow-on-arm