deeplearning4j/deeplearning4j-examples

Style Transfer error

オープン

#857 opened on 2019/05/29

 (7 件のコメント) (0 件のリアクション) (0 人の担当者)Java (1,841 件のフォーク)batch import
bughelp wanted

Repository metrics

Stars
 (2,395 個のスター)
PR merge metrics
 (30d に merged PR はありません)

説明

Issue Description

Please describe your issue, along with:

  • expected behavior Run until execution finished.

  • encountered behavior Error stops execution.

Stack Trace: Exception in thread "main" java.lang.reflect.InvocationTargetException at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at com.intellij.rt.execution.CommandLineWrapper.main(CommandLineWrapper.java:66) Caused by: java.lang.RuntimeException: NativeOps::execPairwiseTransform both operands must have same data type; Expected: [DOUBLE]; Actual: [FLOAT] at org.nd4j.nativeblas.Nd4jCuda$NativeOps.execPairwiseTransform(Native Method) at org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner.invoke(CudaExecutioner.java:1420) at org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner.exec(CudaExecutioner.java:635) at org.nd4j.linalg.api.ndarray.BaseNDArray.addi(BaseNDArray.java:3818) at org.nd4j.linalg.api.ndarray.BaseNDArray.addi(BaseNDArray.java:3788) at org.deeplearning4j.examples.styletransfer.NeuralStyleTransfer.createCombinationImage(NeuralStyleTransfer.java:192) at org.deeplearning4j.examples.styletransfer.NeuralStyleTransfer.transferStyle(NeuralStyleTransfer.java:132) at org.deeplearning4j.examples.styletransfer.NeuralStyleTransfer.main(NeuralStyleTransfer.java:124) ... 5 more

Version Information

Please indicate relevant versions, including, if relevant:

  • Deeplearning4j version 1.0.0beta4
  • platform information (OS, etc) Windows 10
  • CUDA version, if used 10.1
  • NVIDIA driver version, if in use 430.86

Contributing

If you'd like to help us fix the issue by contributing some code, but would like guidance or help in doing so, please mention it!

コントリビューターガイド