set library path for centos and ubuntu #4859
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harishsk
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Feb 19, 2020
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set library path for centos as well as we are observing below error from NightlyBuild pipeline for CentOS:
X Microsoft.ML.Functional.Tests.Training.ContinueTrainingSymbolicStochasticGradientDescent [121ms]
Error Message:
System.DllNotFoundException : Unable to load shared library 'SymSgdNative' or one of its dependencies. In order to help diagnose loading problems, consider setting the LD_DEBUG environment variable: libSymSgdNative: cannot open shared object file: No such file or directory
Stack Trace:
at Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer.Native.LearnAll(Int32 totalNumInstances, Int32* instSizes, Int32** instIndices, Single** instValues, Single* labels, Boolean tuneLR, Single& lr, Single l2Const, Single piw, Single* weightVector, Single& bias, Int32 numFeatres, Int32 numPasses, Int32 numThreads, Boolean tuneNumLocIter, Int32& numLocIter, Single tolerance, Boolean needShuffle, Boolean shouldInitialize, State* state, ChannelCallBack info)
at Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer.Native.LearnAll(InputDataManager inputDataManager, Boolean tuneLR, Single& lr, Single l2Const, Single piw, Span
1 weightVector, Single& bias, Int32 numFeatres, Int32 numPasses, Int32 numThreads, Boolean tuneNumLocIter, Int32& numLocIter, Single tolerance, Boolean needShuffle, Boolean shouldInitialize, GCHandle stateGCHandle, ChannelCallBack info) at Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer.TrainCore(IChannel ch, RoleMappedData data, LinearModelParameters predictor, Int32 weightSetCount) at Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer.TrainModelCore(TrainContext context) at Microsoft.ML.Trainers.TrainerEstimatorBase2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input)
at Microsoft.ML.Functional.Tests.Training.ContinueTrainingSymbolicStochasticGradientDescent() in /__w/1/s/test/Microsoft.ML.Functional.Tests/Training.cs:line 420
https://dev.azure.com/dnceng/public/_build/results?buildId=527464&view=logs&j=c83e03a9-ccae-58c2-be03-4a20d31c7f0e&t=c2d1124c-8b3e-5953-2f5c-b9febb7524be