Gradle Run Task Fails with SIGILL error in libtensorflow_framework.1.dylib
594212 opened this issue · 1 comments
594212 commented
I created an empty project, and tried to try out the library, but I ran into a problem.
Describe the bug
The gradle run task is failing with a SIGILL error in libtensorflow_framework.1.dylib. The error report suggests that the crash occurred outside the Java Virtual Machine in native code.
Steps to reproduce the behavior:
Run gradle run
Environment
- Gradle Version: 8.1.1
- Kotlin: 1.8.10
- Groovy: 3.0.15
- Ant: Apache Ant(TM) version 1.10.11
- JVM: 17.0.7 (Homebrew 17.0.7+0)
- OS: Mac OS X 13.3.1 aarch64
Log Output
> Task :app:compileKotlin UP-TO-DATE
> Task :app:compileJava NO-SOURCE
> Task :app:processResources NO-SOURCE
> Task :app:classes UP-TO-DATE
> Task :app:jar UP-TO-DATE
> Task :app:inspectClassesForKotlinIC UP-TO-DATE
> Task :app:run FAILED
#
# A fatal error has been detected by the Java Runtime Environment:
#
# SIGILL (0x4) at pc=0x000000013a062ba4, pid=90216, tid=16131
#
# JRE version: OpenJDK Runtime Environment (18.0.2+9) (build 18.0.2+9-61)
# Java VM: OpenJDK 64-Bit Server VM (18.0.2+9-61, mixed mode, sharing, tiered, compressed oops, compressed class ptrs, g1 gc, bsd-amd64)
# Problematic frame:
# C [libtensorflow_framework.1.dylib+0x7ba4] tensorflow::monitoring::MetricDef<(tensorflow::monitoring::MetricKind)1, long long, 2>::MetricDef<char [11], char [7]>(absl::string_view, absl::string_view, char const (&) [11], char const (&) [7])+0x44
#
# No core dump will be written. 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:
# /Users/uvays.aleroev/IdeaProjects/kotlinDL/quick-start/app/hs_err_pid90216.log
#
# If you would like to submit a bug report, please visit:
# https://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.
#
4 actionable tasks: 1 executed, 3 up-to-date
build.gradle.kts
/*
* This file was generated by the Gradle 'init' task.
*
* This generated file contains a sample Kotlin application project to get you started.
* For more details take a look at the 'Building Java & JVM projects' chapter in the Gradle
* User Manual available at https://docs.gradle.org/8.1.1/userguide/building_java_projects.html
*/
plugins {
// Apply the org.jetbrains.kotlin.jvm Plugin to add support for Kotlin.
id("org.jetbrains.kotlin.jvm") version "1.8.10"
// Apply the application plugin to add support for building a CLI application in Java.
application
}
repositories {
// Use Maven Central for resolving dependencies.
mavenCentral()
}
configurations {
implementation
}
val KOTLIN_DL_VERSION = "0.5.2"
dependencies {
// Use the Kotlin JUnit 5 integration.
testImplementation("org.jetbrains.kotlin:kotlin-test-junit5")
// Use the JUnit 5 integration.
testImplementation("org.junit.jupiter:junit-jupiter-engine:5.9.1")
// This dependency is used by the application.
// implementation("com.google.guava:guava:31.1-jre")
// Kotlin DL
implementation ("org.jetbrains.kotlinx:kotlin-deeplearning-api:$KOTLIN_DL_VERSION")
implementation("org.jetbrains.kotlinx:kotlin-deeplearning-tensorflow:$KOTLIN_DL_VERSION")
implementation("org.jetbrains.kotlinx:kotlin-deeplearning-onnx:$KOTLIN_DL_VERSION")
implementation("org.jetbrains.kotlinx:kotlin-deeplearning-visualization:$KOTLIN_DL_VERSION")
implementation("org.slf4j:slf4j-simple:2.0.5")
}
// Apply a specific Java toolchain to ease working on different environments.
java {
toolchain {
languageVersion.set(JavaLanguageVersion.of(18))
}
}
application {
// Define the main class for the application.
mainClass.set("quick.start.AppKt")
}
tasks.named<Test>("test") {
// Use JUnit Platform for unit tests.
useJUnitPlatform()
}App.kt
/*
* This Kotlin source file was generated by the Gradle 'init' task.
*/
package quick.start
//import io.github.oshai.kotlinlogging.KotlinLogging
import mu.KotlinLogging
import org.jetbrains.kotlinx.dl.api.core.Sequential
import org.jetbrains.kotlinx.dl.api.core.layer.core.Dense
import org.jetbrains.kotlinx.dl.api.core.layer.core.Input
import org.jetbrains.kotlinx.dl.api.core.layer.reshaping.Flatten
import org.jetbrains.kotlinx.dl.api.core.loss.Losses
import org.jetbrains.kotlinx.dl.api.core.metric.Metrics
import org.jetbrains.kotlinx.dl.api.core.optimizer.Adam
import org.jetbrains.kotlinx.dl.api.summary.printSummary
private val logger = KotlinLogging.logger {}
class App {
val greeting: String
get() {
return "Hello World!"
}
}
val model = Sequential.of(
Input(28, 28, 1),
Flatten(),
Dense(300),
Dense(100),
Dense(10)
)
fun main() {
logger.info { "Hello World!" }
model.use {
it.compile(
optimizer = Adam(),
loss = Losses.SOFT_MAX_CROSS_ENTROPY_WITH_LOGITS,
metric = Metrics.ACCURACY
)
it.printSummary()
}
println(App().greeting)
}