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I have error cudaGetSymbolAddress(...) failed; Error code: [13] with any samples with CUDA, how I can resolve it? #9123
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same, with RTX 3080, i tried cuda 10.0 and 10.2 |
@RkVladimir @mouradski we'll be releasing a version with 11.0 in a bit, for now you can use snapshots and see if that works? https://deeplearning4j.konduit.ai/config/config-snapshots |
Cannot resolve org.nd4j:nd4j-cuda-11.0:1.0.0-SNAPSHOT - this error are present.... 404 - Not Found Path /org/nd4j/nd4j-cuda-11.0/1.0.0-SNAPSHOT/nd4j-cuda-11.0-1.0.0-20201117.023522-181-windows-x86_64.jar not found in local storage of repository "Snapshots" [id=snapshots] |
I’m resolved it! Now my example working on GeForce3090!!! Part of my POM:
Also you need build nd4j-cuda-11.0 from sources and add all *jar and dll files to your project! |
Thanks, its help me (partly)! |
thanks bro :) |
I builded libnd4j with cuda (-c cuda -cc auto) support, then builded nd4j-cuda & deeplearning4j-cuda (all on snapshot version) then I added thoses dependancies org.deeplearning4j deeplearning4j-cuda-11.0 1.0.0-SNAPSHOT org.deeplearning4j deeplearning4j-core 1.0.0-SNAPSHOTI got this error :(
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@mouradski this looks to be a bad cuda install or something missed during compilation. Could you elaborate a bit on https://community.konduit.ai? I'm closing this issue. |
Here I posted the libraries |
Good afternoon, I tried to install CUDA version 10, 10.1, 10.2, now 11.1 is installed, except for 10.0, versions in all examples with cuda I have an error similar to the one indicated in the listing below. I read in the forums that this is possible, when my version CC = 8.6 (GeForce3090) is not supported in the current DP4J implementation, how can this problem be solved?
Thanks!
Version Information
Please indicate relevant versions, including, if relevant:
VS 2019
OUTPUT:
Exception in thread "main" java.lang.RuntimeException: cudaGetSymbolAddress(...) failed; Error code: [13]
at org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner.createShapeInfo(CudaExecutioner.java:2162)
at org.nd4j.linalg.api.shape.Shape.createShapeInformation(Shape.java:3280)
at org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider.createShapeInformation(BaseShapeInfoProvider.java:74)
at org.nd4j.jita.constant.ProtectedCudaShapeInfoProvider.createShapeInformation(ProtectedCudaShapeInfoProvider.java:92)
at org.nd4j.jita.constant.ProtectedCudaShapeInfoProvider.createShapeInformation(ProtectedCudaShapeInfoProvider.java:73)
at org.nd4j.linalg.jcublas.CachedShapeInfoProvider.createShapeInformation(CachedShapeInfoProvider.java:42)
at org.nd4j.linalg.api.ndarray.BaseNDArray.(BaseNDArray.java:181)
at org.nd4j.linalg.api.ndarray.BaseNDArray.(BaseNDArray.java:310)
at org.nd4j.linalg.api.ndarray.BaseNDArray.(BaseNDArray.java:363)
at org.nd4j.linalg.api.ndarray.BaseNDArray.(BaseNDArray.java:786)
at org.nd4j.linalg.jcublas.JCublasNDArray.(JCublasNDArray.java:287)
at org.nd4j.linalg.jcublas.JCublasNDArrayFactory.create(JCublasNDArrayFactory.java:172)
at org.nd4j.linalg.factory.Nd4j.create(Nd4j.java:4247)
at org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.convertWritablesSequence(RecordReaderMultiDataSetIterator.java:612)
at org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.convertFeaturesOrLabels(RecordReaderMultiDataSetIterator.java:369)
at org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.nextMultiDataSet(RecordReaderMultiDataSetIterator.java:327)
at org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.next(RecordReaderMultiDataSetIterator.java:213)
at org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator.next(SequenceRecordReaderDataSetIterator.java:365)
at org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator.next(SequenceRecordReaderDataSetIterator.java:344)
at org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator.next(SequenceRecordReaderDataSetIterator.java:48)
at org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer.fit(AbstractDataSetNormalizer.java:109)
at cudlstm.main(cudlstm.java:50)
Process finished with exit code 1
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