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I have installed latest Cuda version (9.2), and when setting the tree method to GPU* i get an SEHException "external component has thrown an exception", should i compile the program in a certain way after cuda installation? What should i do?, thanks!
It could sound like a GPU memory issue. There are no special compilation needed once you have installed Cuda like descriped in the guide: Cuda installation.
Could you provide some details about the following:
Settings of the xgboost learner (code)
How large is the problem you are training on (number of rows, cols)
If possible, detailed description from the SEHException
I don't think it's a memory related issue, i have tried on some small data
sets (about 500 rows and 100 cols) just to check but the exception is still
thrown,
this is the code of the learning part:
var sharpDtLearner = new
ClassificationXGBoostLearner(3,0.1,100,false,ClassificationObjective.GPUBinaryLogistic);
var sut = sharpDtLearner.Learn(mat, outputs.Convert(x =>
(double)x));
ProbabilityPrediction[] pp = this.xgboost.PredictProbability(mat);
this is then exception:
System.Runtime.InteropServices.SEHException (0x80004005): External
component has thrown an exception.
at XGBoost.lib.XGBOOST_NATIVE_METHODS.XGBoosterUpdateOneIter(IntPtr
bHandle, Int32 iter, IntPtr dHandle)
at XGBoost.lib.Booster.Update(DMatrix train, Int32 iter)
at
SharpLearning.XGBoost.Learners.ClassificationXGBoostLearner.Learn(F64Matrix
observations, Double[] targets, Int32[] indices)
*if i change the objective to BinaryLogistic i't works perfectly.
Thanks!
בתאריך יום ו׳, 7 בספט׳ 2018 ב-8:33 מאת Mads Dabros <
notifications@github.com>:
Activity
mdabros commentedon Sep 7, 2018
Hi @gaop123 ,
It could sound like a GPU memory issue. There are no special compilation needed once you have installed Cuda like descriped in the guide: Cuda installation.
Could you provide some details about the following:
Best regards
Mads
gaop123 commentedon Sep 7, 2018