Created
August 4, 2016 00:26
-
-
Save fac2003/d9e6d8e701ab08e6693e6041d2f571b4 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| o.d.e.m.MultiGpuLenetMnistExample - Build model.... | |
| o.d.e.m.MultiGpuLenetMnistExample - Train model.... | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:5907 code=77(<unknown>) "cudaStreamSynchronize(*stream)" | |
| o.d.p.ParallelWrapper - Averaged score: 2.079001024173573 | |
| Exception in thread "main" java.lang.RuntimeException: Can't allocate [HOST] memory: 32; threadId: 1 | |
| at org.nd4j.jita.memory.impl.CudaDirectProvider.malloc(CudaDirectProvider.java:59) | |
| at org.nd4j.jita.memory.impl.CudaCachingZeroProvider.malloc(CudaCachingZeroProvider.java:113) | |
| at org.nd4j.jita.memory.impl.CudaFullCachingProvider.malloc(CudaFullCachingProvider.java:77) | |
| at org.nd4j.jita.handler.impl.CudaZeroHandler.alloc(CudaZeroHandler.java:218) | |
| at org.nd4j.jita.handler.impl.CudaZeroHandler.alloc(CudaZeroHandler.java:239) | |
| at org.nd4j.jita.allocator.impl.AtomicAllocator.allocateMemory(AtomicAllocator.java:377) | |
| at org.nd4j.jita.allocator.impl.AtomicAllocator.allocateMemory(AtomicAllocator.java:336) | |
| at org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer.<init>(BaseCudaDataBuffer.java:143) | |
| at org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer.<init>(BaseCudaDataBuffer.java:180) | |
| at org.nd4j.linalg.jcublas.buffer.CudaDoubleDataBuffer.<init>(CudaDoubleDataBuffer.java:55) | |
| at org.nd4j.linalg.jcublas.JCublasNDArrayFactory.average(JCublasNDArrayFactory.java:797) | |
| at org.nd4j.linalg.jcublas.JCublasNDArrayFactory.average(JCublasNDArrayFactory.java:848) | |
| at org.nd4j.linalg.factory.Nd4j.averageAndPropagate(Nd4j.java:4750) | |
| at org.deeplearning4j.parallelism.ParallelWrapper.fit(ParallelWrapper.java:148) | |
| at org.deeplearning4j.examples.multigpu.MultiGpuLenetMnistExample.main(MultiGpuLenetMnistExample.java:145) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment