Helix test fail on latest torchsharp (0.102.5) and its runtime

[LittleLittleCloud]

System Information (please complete the following information):

• OS & Version: [e.g. Windows 10]
• ML.NET Version: [e.g. ML.NET v1.5.5]
• .NET Version: [e.g. .NET 5.0]

Describe the bug

The Microsoft.ML.Torchsharp.Tests fails in the following helix tests if I update torchsharp and its runtime to 0.102.5 and 2.2.1.1.

• centos x64
• ubuntu x64

The error message from helix tests indicates some dependencies of liblibtorchsharp is missing. After turning on LD_Debug, it seems that one of the missing dependencies is GLIBC_2.34. Note that the image for helix test is still centos 8 streaming which glib version is 2.28. This could be the why the torchsharp test failures.

file=/temp/workitems/Microsoft.ML.TorchSharp.Tests/runtimes/linux-x64/native/libtorch_cpu.so
       260:
       260:     find library=libgomp-98b21ff3.so.1 [0]; searching
       260:      search path=/usr/local/lib:/usr/local/lib64            (LD_LIBRARY_PATH)
       260:       trying file=/usr/local/lib/libgomp-98b21ff3.so.1
       260:       trying file=/usr/local/lib64/libgomp-98b21ff3.so.1
       260:      search path=/temp/workitems/Microsoft.ML.TorchSharp.Tests/runtimes/linux-x64/native            (RUNPATH from file /temp/workitems/Microsoft.ML.TorchSharp.Tests/runtimes/linux-x64/native/libtorch_cpu.so)
       260:       trying file=/temp/workitems/Microsoft.ML.TorchSharp.Tests/runtimes/linux-x64/native/libgomp-98b21ff3.so.1
       260:
       260:     /lib64/libc.so.6: error: version lookup error: version `GLIBC_2.34' not found (required by /temp/workitems/Microsoft.ML.TorchSharp.Tests/runtimes/linux-x64/native/libLibTorchSharp.so) (fatal)
       260:     find library=libLibTorchSharp.so [0]; searching
       260:      search path=/usr/local/lib:/usr/local/lib64            (LD_LIBRARY_PATH)
       260:       trying file=/usr/local/lib/libLibTorchSharp.so
       260:       trying file=/usr/local/lib64/libLibTorchSharp.so
       260:      search cache=/etc/ld.so.cache
       260:      search path=/lib64/tls:/lib64:/usr/lib64/tls:/usr/lib64                (system search path)
       260:       trying file=/lib64/tls/libLibTorchSharp.so
       260:       trying file=/lib64/libLibTorchSharp.so
       260:       trying file=/usr/lib64/tls/libLibTorchSharp.so
       260:       trying file=/usr/lib64/libLibTorchSharp.so
       260:
       260:     find library=LibTorchSharp [0]; searching
       260:      search path=/usr/local/lib:/usr/local/lib64            (LD_LIBRARY_PATH)
       260:       trying file=/usr/local/lib/LibTorchSharp
       260:       trying file=/usr/local/lib64/LibTorchSharp
       260:      search cache=/etc/ld.so.cache
       260:      search path=/lib64/tls:/lib64:/usr/lib64/tls:/usr/lib64                (system search path)
       260:       trying file=/lib64/tls/LibTorchSharp
       260:       trying file=/lib64/LibTorchSharp
       260:       trying file=/usr/lib64/tls/LibTorchSharp
       260:       trying file=/usr/lib64/LibTorchSharp
       260:
       260:     find library=libLibTorchSharp [0]; searching
       260:      search path=/usr/local/lib:/usr/local/lib64            (LD_LIBRARY_PATH)
       260:       trying file=/usr/local/lib/libLibTorchSharp
       260:       trying file=/usr/local/lib64/libLibTorchSharp
       260:      search cache=/etc/ld.so.cache
       260:      search path=/lib64/tls:/lib64:/usr/lib64/tls:/usr/lib64                (system search path)
       260:       trying file=/lib64/tls/libLibTorchSharp
       260:       trying file=/lib64/libLibTorchSharp
       260:       trying file=/usr/lib64/tls/libLibTorchSharp
       260:       trying file=/usr/lib64/libLibTorchSharp

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[LittleLittleCloud]

The glibc dependency change from torchsharp might be introduced in this PR, which upgrades its building image from ubuntu 18 to ubuntu 22. I'm not familiar with C++ so it's just my guess.

• dotnet/TorchSharp@2c32184#diff-7915b9b726a397ae7ba6af7b9703633d21c031ebf21682f3ee7e6a4ec52837a5R23

[ericstj]

We need to make sure we have an answer for this for ML.NET 4.0. Ideally we can update ML.NET to the latest torchsharp and that won't drop support for our platforms.