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constantOut/exception when running dl4j examples

Created April 29, 2018 08:13
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exception when running dl4j examples
"C:\Program Files\Java\jdk1.8.0_71\bin\java" "-javaagent:C:\Program Files\JetBrains\IntelliJ IDEA Community Edition 2017.3.2\lib\idea_rt.jar=52559:C:\Program Files\JetBrains\IntelliJ IDEA Community Edition 2017.3.2\bin" -Dfile.encoding=UTF-8 -classpath "C:\Program Files\Java\jdk1.8.0_71\jre\lib\charsets.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\deploy.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\access-bridge-64.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\cldrdata.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\dnsns.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\jaccess.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\jfxrt.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\localedata.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\nashorn.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\sunec.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\sunjce_provider.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\sunmscapi.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\sunpkcs11.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\ext\zipfs.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\javaws.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\jce.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\jfr.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\jfxswt.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\jsse.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\management-agent.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\plugin.jar;C:\Program Files\Java\jdk1.8.0_71\jre\lib\resources.jar;C:\Program 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rg\agrona\Agrona\0.5.4\Agrona-0.5.4.jar;C:\Users\kos\.m2\repository\org\mapdb\mapdb\3.0.5\mapdb-3.0.5.jar;C:\Users\kos\.m2\repository\org\jetbrains\kotlin\kotlin-stdlib\1.0.7\kotlin-stdlib-1.0.7.jar;C:\Users\kos\.m2\repository\org\jetbrains\kotlin\kotlin-runtime\1.0.7\kotlin-runtime-1.0.7.jar;C:\Users\kos\.m2\repository\org\eclipse\collections\eclipse-collections-api\7.1.1\eclipse-collections-api-7.1.1.jar;C:\Users\kos\.m2\repository\net\jcip\jcip-annotations\1.0\jcip-annotations-1.0.jar;C:\Users\kos\.m2\repository\org\eclipse\collections\eclipse-collections\7.1.1\eclipse-collections-7.1.1.jar;C:\Users\kos\.m2\repository\org\eclipse\collections\eclipse-collections-forkjoin\7.1.1\eclipse-collections-forkjoin-7.1.1.jar;C:\Users\kos\.m2\repository\net\jpountz\lz4\lz4\1.3.0\lz4-1.3.0.jar;C:\Users\kos\.m2\repository\org\mapdb\elsa\3.0.0-M5\elsa-3.0.0-M5.jar;C:\Users\kos\.m2\repository\org\xerial\sqlite-jdbc\3.15.1\sqlite-jdbc-3.15.1.jar;C:\Users\kos\.m2\repository\org\deeplearning4j\deeplearning4j-ui-resources\1.0.0-alpha\deeplearning4j-ui-resources-1.0.0-alpha.jar;C:\Users\kos\.m2\repository\org\deeplearning4j\deeplearning4j-zoo\1.0.0-alpha\deeplearning4j-zoo-1.0.0-alpha.jar;C:\Users\kos\.m2\repository\org\nd4j\nd4j-cuda-9.1-platform\1.0.0-alpha\nd4j-cuda-9.1-platform-1.0.0-alpha.jar;C:\Users\kos\.m2\repository\org\nd4j\nd4j-cuda-9.1\1.0.0-alpha\nd4j-cuda-9.1-1.0.0-alpha-linux-x86_64.jar;C:\Users\kos\.m2\repository\org\nd4j\nd4j-cuda-9.1\1.0.0-alpha\nd4j-cuda-9.1-1.0.0-alpha-macosx-x86_64.jar;C:\Users\kos\.m2\repository\org\nd4j\nd4j-cuda-9.1\1.0.0-alpha\nd4j-cuda-9.1-1.0.0-alpha-windows-x86_64.jar;C:\Users\kos\.m2\repository\org\datavec\datavec-data-codec\1.0.0-alpha\datavec-data-codec-1.0.0-alpha.jar;C:\Users\kos\.m2\repository\org\jcodec\jcodec\0.1.5\jcodec-0.1.5.jar;C:\Users\kos\.m2\repository\ch\qos\logback\logback-classic\1.1.7\logback-classic-1.1.7.jar;C:\Users\kos\.m2\repository\ch\qos\logback\logback-core\1.1.7\logback-core-1.1.7.jar" org.deeplearning4j.examples.multigpu.vgg16.vgg16.FitFromFeaturized
o.d.e.m.v.v.FitFromFeaturized -
Loading org.deeplearning4j.transferlearning.vgg16...
o.d.z.ZooModel - Using cached model at C:\Users\kos\.deeplearning4j\vgg16_dl4j_inference.zip
o.d.z.ZooModel - Verifying download...
o.d.z.ZooModel - Checksum local is 3501732770, expecting 3501732770
o.n.l.f.Nd4jBackend - Loaded [JCublasBackend] backend
o.n.n.NativeOpsHolder - Number of threads used for NativeOps: 32
o.n.n.Nd4jBlas - Number of threads used for BLAS: 0
o.n.l.a.o.e.DefaultOpExecutioner - Backend used: [CUDA]; OS: [Windows 10]
o.n.l.a.o.e.DefaultOpExecutioner - Cores: [8]; Memory: [7.1GB];
o.n.l.a.o.e.DefaultOpExecutioner - Blas vendor: [CUBLAS]
o.n.l.j.o.e.CudaExecutioner - Device opName: [GeForce GTX 1080]; CC: [6.1]; Total/free memory: [8589934592]
o.d.n.g.ComputationGraph - Starting ComputationGraph with WorkspaceModes set to [training: NONE; inference: SINGLE]
o.d.e.m.v.v.FitFromFeaturized -
==========================================================================================================================================================================================================================================================
VertexName (VertexType) nIn,nOut TotalParams ParamsShape Vertex Inputs
==========================================================================================================================================================================================================================================================
input_1 (InputVertex) -,- - - -
block1_conv1 (ConvolutionLayer) 3,64 1792 W:{64,3,3,3}, b:{1,64} [input_1]
block1_conv2 (ConvolutionLayer) 64,64 36928 W:{64,64,3,3}, b:{1,64} [block1_conv1]
block1_pool (SubsamplingLayer) -,- 0 - [block1_conv2]
block2_conv1 (ConvolutionLayer) 64,128 73856 W:{128,64,3,3}, b:{1,128} [block1_pool]
block2_conv2 (ConvolutionLayer) 128,128 147584 W:{128,128,3,3}, b:{1,128} [block2_conv1]
block2_pool (SubsamplingLayer) -,- 0 - [block2_conv2]
block3_conv1 (ConvolutionLayer) 128,256 295168 W:{256,128,3,3}, b:{1,256} [block2_pool]
block3_conv2 (ConvolutionLayer) 256,256 590080 W:{256,256,3,3}, b:{1,256} [block3_conv1]
block3_conv3 (ConvolutionLayer) 256,256 590080 W:{256,256,3,3}, b:{1,256} [block3_conv2]
block3_pool (SubsamplingLayer) -,- 0 - [block3_conv3]
block4_conv1 (ConvolutionLayer) 256,512 1180160 W:{512,256,3,3}, b:{1,512} [block3_pool]
block4_conv2 (ConvolutionLayer) 512,512 2359808 W:{512,512,3,3}, b:{1,512} [block4_conv1]
block4_conv3 (ConvolutionLayer) 512,512 2359808 W:{512,512,3,3}, b:{1,512} [block4_conv2]
block4_pool (SubsamplingLayer) -,- 0 - [block4_conv3]
block5_conv1 (ConvolutionLayer) 512,512 2359808 W:{512,512,3,3}, b:{1,512} [block4_pool]
block5_conv2 (ConvolutionLayer) 512,512 2359808 W:{512,512,3,3}, b:{1,512} [block5_conv1]
block5_conv3 (ConvolutionLayer) 512,512 2359808 W:{512,512,3,3}, b:{1,512} [block5_conv2]
block5_pool (SubsamplingLayer) -,- 0 - [block5_conv3]
flatten (PreprocessorVertex) -,- - - [block5_pool]
fc1 (DenseLayer) 25088,4096102764544 W:{25088,4096}, b:{1,4096} [flatten]
fc2 (DenseLayer) 4096,4096 16781312 W:{4096,4096}, b:{1,4096} [fc1]
predictions (DenseLayer) 4096,1000 4097000 W:{4096,1000}, b:{1,1000} [fc2]
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Total Parameters: 138357544
Trainable Parameters: 138357544
Frozen Parameters: 0
==========================================================================================================================================================================================================================================================
o.d.n.l.FrozenLayer - Gradients for the frozen layer are not set and will therefore will not be updated.Warning will be issued only once per instance
o.d.e.m.v.v.FitFromFeaturized -
==========================================================================================================================================================================================================================================================
VertexName (VertexType) nIn,nOut TotalParams ParamsShape Vertex Inputs
==========================================================================================================================================================================================================================================================
input_1 (InputVertex) -,- - - -
block1_conv1 (Frozen ConvolutionLayer) 3,64 1792 W:{64,3,3,3}, b:{1,64} [input_1]
block1_conv2 (Frozen ConvolutionLayer) 64,64 36928 W:{64,64,3,3}, b:{1,64} [block1_conv1]
block1_pool (Frozen SubsamplingLayer) -,- 0 - [block1_conv2]
block2_conv1 (Frozen ConvolutionLayer) 64,128 73856 W:{128,64,3,3}, b:{1,128} [block1_pool]
block2_conv2 (Frozen ConvolutionLayer) 128,128 147584 W:{128,128,3,3}, b:{1,128} [block2_conv1]
block2_pool (Frozen SubsamplingLayer) -,- 0 - [block2_conv2]
block3_conv1 (Frozen ConvolutionLayer) 128,256 295168 W:{256,128,3,3}, b:{1,256} [block2_pool]
block3_conv2 (Frozen ConvolutionLayer) 256,256 590080 W:{256,256,3,3}, b:{1,256} [block3_conv1]
block3_conv3 (Frozen ConvolutionLayer) 256,256 590080 W:{256,256,3,3}, b:{1,256} [block3_conv2]
block3_pool (Frozen SubsamplingLayer) -,- 0 - [block3_conv3]
block4_conv1 (Frozen ConvolutionLayer) 256,512 1180160 W:{512,256,3,3}, b:{1,512} [block3_pool]
block4_conv2 (Frozen ConvolutionLayer) 512,512 2359808 W:{512,512,3,3}, b:{1,512} [block4_conv1]
block4_conv3 (Frozen ConvolutionLayer) 512,512 2359808 W:{512,512,3,3}, b:{1,512} [block4_conv2]
block4_pool (Frozen SubsamplingLayer) -,- 0 - [block4_conv3]
block5_conv1 (Frozen ConvolutionLayer) 512,512 2359808 W:{512,512,3,3}, b:{1,512} [block4_pool]
block5_conv2 (Frozen ConvolutionLayer) 512,512 2359808 W:{512,512,3,3}, b:{1,512} [block5_conv1]
block5_conv3 (Frozen ConvolutionLayer) 512,512 2359808 W:{512,512,3,3}, b:{1,512} [block5_conv2]
block5_pool (Frozen SubsamplingLayer) -,- 0 - [block5_conv3]
flatten (PreprocessorVertex) -,- - - [block5_pool]
fc1 (Frozen DenseLayer) 25088,4096102764544 W:{25088,4096}, b:{1,4096} [flatten]
fc2 (Frozen DenseLayer) 4096,4096 16781312 W:{4096,4096}, b:{1,4096} [fc1]
predictions (OutputLayer) 4096,5 20485 W:{4096,5}, b:{1,5} [fc2]
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Total Parameters: 134281029
Trainable Parameters: 20485
Frozen Parameters: 134260544
==========================================================================================================================================================================================================================================================
Exception in thread "main" java.lang.NullPointerException
at org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator.<init>(ExistingMiniBatchDataSetIterator.java:42)
at org.deeplearning4j.examples.multigpu.vgg16.dataHelpers.FlowerDataSetIteratorFeaturized.testIterator(FlowerDataSetIteratorFeaturized.java:32)
at org.deeplearning4j.examples.multigpu.vgg16.vgg16.FitFromFeaturized.main(FitFromFeaturized.java:94)
Process finished with exit code 1
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