Comments (4)
Hey, dude, i have been doing the same thing as you, but i kept getting this error when running the xor example provided by nd4j! here is the trace:
Exception in thread "main" java.lang.RuntimeException: java.lang.RuntimeException: java.lang.IllegalStateException: Unable to find path C:\Users\grant\AppData\Local\Temp\nd4j-kernels\output\std_strided.cubin. Recompiling
at org.nd4j.linalg.jcublas.context.ContextHolder.configure(ContextHolder.java:250)
at org.nd4j.linalg.jcublas.context.ContextHolder.getInstance(ContextHolder.java:116)
at org.nd4j.linalg.jcublas.context.CudaContext.(CudaContext.java:52)
at org.nd4j.linalg.jcublas.context.CudaContext.getBlasContext(CudaContext.java:330)
at org.nd4j.linalg.jcublas.blas.JcublasLevel3.sgemm(JcublasLevel3.java:31)
at org.nd4j.linalg.api.blas.impl.BaseLevel3.gemm(BaseLevel3.java:57)
at org.nd4j.linalg.api.ndarray.BaseNDArray.mmuli(BaseNDArray.java:2537)
at org.nd4j.linalg.api.ndarray.BaseNDArray.mmul(BaseNDArray.java:2343)
at org.deeplearning4j.nn.layers.BaseLayer.activate(BaseLayer.java:338)
at org.deeplearning4j.nn.layers.BaseLayer.activate(BaseLayer.java:356)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.activationFromPrevLayer(MultiLayerNetwork.java:513)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.feedForwardToLayer(MultiLayerNetwork.java:636)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.feedForward(MultiLayerNetwork.java:590)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.computeGradientAndScore(MultiLayerNetwork.java:1752)
at org.deeplearning4j.optimize.solvers.BaseOptimizer.gradientAndScore(BaseOptimizer.java:132)
at org.deeplearning4j.optimize.solvers.StochasticGradientDescent.optimize(StochasticGradientDescent.java:56)
at org.deeplearning4j.optimize.Solver.optimize(Solver.java:52)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1497)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1529)
at org.deeplearning4j.examples.xor.XorExample.main(XorExample.java:173)
from deeplearning4j-examples.
This is now outdated. Please use DL4J via maven as per the quick start guide, or come to the gitter channel if you really need to build from source (most users don't).
from deeplearning4j-examples.
Hey, do you have an updated version of this installation guide?
from deeplearning4j-examples.
This was a build guide, if you are looking to just use DL4J, please use the pre-built artifacts from maven.
If you want to build dl4j from source, take a look at https://community.konduit.ai/t/build-documentation-out-of-date/180/2 or https://deeplearning4j.konduit.ai/getting-started/build-from-source when it comes to the required tools for building.
from deeplearning4j-examples.
Related Issues (20)
- NaN Problem when training nn HOT 1
- Unable to perform distributed training using tiny ImageNet example HOT 1
- Provider org.nd4j.samediff.frameworkimport.tensorflow.opdefs.TensorflowOpDescriptorLoader could not be instantiated HOT 1
- Fix links to examples in documentation HOT 1
- 'NoAvailableBackendException' occur when running project on the android studio emulator HOT 1
- Android Example fails due to MainActivity's ClassNotFoundException HOT 3
- Hyperparameter tuning example missing HOT 3
- IndexOutOfBoundsException when importing onnx model
- DL4J uses SharedTrainingMaster on spark and reports "ERROR - publicationUnblockTimeoutNs=15000000000 <= clientLivenessTimeoutNs=30000000000" HOT 6
- Make a Moudle compiler HOT 1
- YOLO HOT 1
- Issue executing GenerateTxtCharCompGraphModel.java HOT 6
- dl4j-examples - clean build failure HOT 1
- load keras saved .pb file model throw exception HOT 1
- UnsupportedClassVersionError HOT 1
- Potential Cuda issue with 4070 cards HOT 4
- org.nd4j:nd4j-cuda-10.2-platform:jar:1.0.0-M2.1 was not found in https://repo.maven.apache.org/maven2 during a previous attempt.
- The provided RNNEmbedding Example does not work, on 1.0.0-M2.1 release HOT 1
- Downloading training data results in 403 HOT 10
- RNNEmbedding IllegalStateException
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from deeplearning4j-examples.