tensorflow / run_output.txt
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WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/Users/user/Documents/Framework%20IA/framework-ia/targets/mleap/verify/tools/sbt/bin/sbt-launch.jar)
WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/Users/user/Documents/Framework%20IA/framework-ia/targets/mleap/verify/tools/sbt/bin/sbt-launch.jar)
WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
WARNING: A restricted method in java.lang.System has been called
WARNING: java.lang.System::load has been called by com.sun.jna.Native in an unnamed module (file:/C:/Users/user/.sbt/boot/scala-2.12.21/org.scala-sbt/sbt/1.12.5/jna-5.12.0.jar)
WARNING: Use --enable-native-access=ALL-UNNAMED to avoid a warning for callers in this module
WARNING: Restricted methods will be blocked in a future release unless native access is enabled
[info] welcome to sbt 1.12.5 (Oracle Corporation Java 24.0.1)
[info] loading settings for project repo-build from plugins.sbt...
[info] loading project definition from C:\Users\user\Documents\Framework IA\framework-ia\targets\mleap\repo\project
[info] loading settings for project mleap from build.sbt...
[info] loading settings for project mleap-base from build.sbt...
[info] loading settings for project bundle-ml from build.sbt...
[info] loading settings for project bundle-hdfs from build.sbt...
[info] loading settings for project mleap-tensor from build.sbt...
[info] loading settings for project mleap-core from build.sbt...
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[info] loading settings for project mleap-spark-testkit from build.sbt...
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[info] loading settings for project mleap-tensorflow from build.sbt...
[info] loading settings for project mleap-xgboost-runtime from build.sbt...
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[info] loading settings for project mleap-serving from build.sbt...
[info] loading settings for project mleap-executor from build.sbt...
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[info] loading settings for project mleap-executor-tests from build.sbt...
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[info] loading settings for project mleap-spring-boot from build.sbt...
[info] loading settings for project mleap-databricks-runtime-fat from build.sbt...
[info] loading settings for project mleap-databricks-runtime from build.sbt...
[info] loading settings for project mleap-databricks-runtime-testkit from build.sbt...
[info] resolving key references (31183 settings) ...
[info] set current project to mleap (in build file:/C:/Users/user/Documents/Framework%20IA/framework-ia/targets/mleap/repo/)
[info] Installing the s3:// URLStreamHandler via java.net.URL.setURLStreamHandlerFactory
[info] Creating a new Ivy URLHandlerDispatcher to handle s3:// URLs
Warning: Tried to extract the base path for relative glob bundle-protobuf\bundle\**\*. To disable this warning, re-run the program with java option, -Dsbt.io.implicit.relative.glob.conversion=allow
Warning: Tried to extract the base path for relative glob bundle-protobuf\bundle\**\*. To disable this warning, re-run the program with java option, -Dsbt.io.implicit.relative.glob.conversion=allow
Warning: Tried to extract the base path for relative glob bundle-protobuf\bundle\**\*.{java,scala}. To disable this warning, re-run the program with java option, -Dsbt.io.implicit.relative.glob.conversion=allow
Warning: Tried to extract the base path for relative glob bundle-protobuf\bundle\**\*.{java,scala}. To disable this warning, re-run the program with java option, -Dsbt.io.implicit.relative.glob.conversion=allow
[info] Starting scala interpreter...
Welcome to Scala 2.13.18 (Java HotSpot(TM) 64-Bit Server VM, Java 24.0.1).
Type in expressions for evaluation. Or try :help.
[?2004h>....import ml.combust.mleap.tensorflow.TensorflowModel
[?2004h>....import ml.combust.mleap.core.types.TensorType
[?2004h>....import ml.combust.mleap.tensor.{DenseTensor, Tensor}
[?2004h>....import scala.util.{Try, Success, Failure}
[?2004h>....[?2004h>....=== Test A: does TensorflowModel construction/load itself parse the GraphDef eagerly? ===
[?2004h>....val garbage: Array[Byte] = Array(65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65)
[?2004h>....val modelA: ml.combust.mleap.tensorflow.TensorflowModel = TensorflowModel(None,None,List(),List(),None,Some(graph),[B@1068375)
[?2004h>....[Test A] TensorflowModel(...) constructed WITHOUT any exception at construction time (garbage modelBytes of 64 bytes) -- confirms MLeap does zero eager validation at load/construction: TensorflowModel(None,None,List(),List(),None,Some(graph),[B@1068375)
[?2004h>....[?2004h>....
=== Test B: what happens when apply() actually triggers GraphDef.parseFrom + importGraphDef on garbage bytes? ===
[?2004h>....2026-07-23 10:32:29.561010: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
val resultB: scala.util.Try[Seq[Any]] = Failure(com.google.protobuf.InvalidProtocolBufferException: While parsing a protocol message, the input ended unexpectedly in the middle of a field. This could mean either that the input has been truncated or that an embedded message misreported its own length.)
[?2004h>....[Test B EXCEPTION] com.google.protobuf.InvalidProtocolBufferException: While parsing a protocol message, the input ended unexpectedly in the middle of a field. This could mean either that the input has been truncated or that an embedded message misreported its own length.
[?2004h>....[?2004h>....
=== Test C: same, but with a well-formed EMPTY protobuf (0 bytes) as modelBytes, to see baseline behavior ===
[?2004h>....val modelC: ml.combust.mleap.tensorflow.TensorflowModel = TensorflowModel(None,None,List(),List(),None,Some(graph),[B@564023b5)
[?2004h>....#
# A fatal error has been detected by the Java Runtime Environment:
#
# EXCEPTION_ACCESS_VIOLATION (0xc0000005) at pc=0x00007ffc6f92f3f7, pid=24760, tid=31724
#
# JRE version: Java(TM) SE Runtime Environment (24.0.1+9) (build 24.0.1+9-30)
# Java VM: Java HotSpot(TM) 64-Bit Server VM (24.0.1+9-30, mixed mode, sharing, tiered, compressed oops, compressed class ptrs, g1 gc, windows-amd64)
# Problematic frame:
# C 0x00007ffc6f92f3f7
#
# No core dump will be written. Minidumps are not enabled by default on client versions of Windows
#
# An error report file with more information is saved as:
# C:\Users\user\Documents\Framework IA\framework-ia\targets\mleap\repo\hs_err_pid24760.log
[38.154s][warning][os] Loading hsdis library failed
#
# 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.
#