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I can make it consistently crash by adding a for loop (i.e., run the test 1000 times).
o.n.l.f.Nd4jBackend - Loaded [CpuBackend] backend
o.n.n.NativeOpsHolder - Number of threads used for NativeOps: 8
o.n.n.Nd4jBlas - Number of threads used for BLAS: 8
o.n.l.a.o.e.DefaultOpExecutioner - Backend used: [CPU]; OS: [Windows 10]
o.n.l.a.o.e.DefaultOpExecutioner - Cores: [16]; Memory: [7.1GB];
o.n.l.a.o.e.DefaultOpExecutioner - Blas vendor: [MKL]
o.d.n.m.MultiLayerNetwork - Starting MultiLayerNetwork with WorkspaceModes set to [training: SEPARATE; inference: SEPARATE]
#
# A fatal error has been detected by the Java Runtime Environment:
#
# EXCEPTION_ACCESS_VIOLATION (0xc0000005) at pc=0x00007ffdfbb5896c, pid=9124, tid=0x00000000000026c8
#
# JRE version: Java(TM) SE Runtime Environment (8.0_151-b12) (build 1.8.0_151-b12)
# Java VM: Java HotSpot(TM) 64-Bit Server VM (25.151-b12 mixed mode windows-amd64 compressed oops)
# Problematic frame:
# C [jnihdf5.dll+0x19896c]
#
# Failed to write core dump. Minidumps are not enabled by default on client versions of Windows
#
# An error report file with more information is saved as:
# C:\DL4J\Git\deeplearning4j\deeplearning4j-modelimport\hs_err_pid9124.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.
#
[error occurred during error reporting , id 0xc0000005]
Reproducable on Windows... I haven't checked Linux yet. Also not sure if other tests will produce this if run similarly.
This test will crash the JVM occasionally:
deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasModelEndToEndTest.java
Lines 249 to 252 in 9960626
I can make it consistently crash by adding a for loop (i.e., run the test 1000 times).
https://gist.github.com/AlexDBlack/a6db846c24ffdd458d10a0205d63ae7e
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