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System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): MacOs Big Sur ver11.0.1, M1 slices
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:
• TensorFlow installed from (source or binary): Maven
• TensorFlow version (use command below): Old tensorflow version(1.4.0/1.5.0), and new tensorflow Java Version 0.2.0
• JVM version: 1.8.0_162
• No GPU

Describe the current behavior
I just try to run tensorflow java offical example, and get tensorflow version for test. but It dosen't work.
I have test different versions of tensorflow java interface, and only ver 1.13.1 works well.
And all other versions can not work, for example old tensorflow version(1.4.0/1.5.0), and new tensorflow Java Version 0.2.0/0.3.0(tensorflow ver2.3.1/2.4.1) .

The Error shows below:

A fatal error has been detected by the Java Runtime Environment:

SIGILL (0x4) at pc=0x00000001290edc15, pid=6333, tid=0x0000000000001a03

JRE version: Java(TM) SE Runtime Environment (8.0_162-b12) (build 1.8.0_162-b12)
Java VM: Java HotSpot(TM) 64-Bit Server VM (25.162-b12 mixed mode bsd-amd64 compressed oops)
Problematic frame:
C [libtensorflow_framework.2.dylib+0x14c15] tensorflow::monitoring::MetricDef<(tensorflow::monitoring::MetricKind)1, long long, 2>::MetricDef<char [11], char [7]>(absl::lts_2020_02_25::string_view, absl::lts_2020_02_25::string_view, char const (&) [11], char const (&) [7])+0x125

Failed to write core dump. Core dumps have been disabled. To enable core dumping, try "ulimit -c unlimited" before starting Java again

An error report file with more information is saved as:
/***/tf_test/hs_err_pid6333.log

If you would like to submit a bug report, please visit:
http://bugreport.java.com/bugreport/crash.jsp
The crash happened outside the Java Virtual Machine in native code.
See problematic frame for where to report the bug.

Code to reproduce the issue
Java code:

import org.tensorflow.TensorFlow;
public class HelloTensorFlow {
    public static void main(String[] args) throws Exception {
        System.out.println("Hello TensorFlow " +TensorFlow.version());
    }
}

pom.xml

<project>
    <modelVersion>4.0.0</modelVersion>
    <groupId>org.myorg</groupId>
    <artifactId>hellotensorflow</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <exec.mainClass>HelloTensorFlow</exec.mainClass>
    <!-- Minimal version for compiling TensorFlow Java is JDK 8 -->
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
    </properties>

    <dependencies>
    <!-- Include TensorFlow (pure CPU only) for all supported platforms -->
        <dependency>
            <groupId>org.tensorflow</groupId>
            <artifactId>tensorflow-core-platform</artifactId>
            <version>0.2.0</version>
        </dependency>
    </dependencies>
</project>