Created
March 18, 2017 20:38
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| eption: java.lang.RuntimeException: java.lang.RuntimeException: org.nd4j.shade.jackson.databind.JsonMappingException: Could not resolve type id 'mean' into a subtype of [simple type, class org.deeplearning4j.nn.conf.distribution.Distribution]: known type ids = [Distribution, binomial, gaussian, normal, uniform] | |
| at [Source: { | |
| "backprop" : true, | |
| "backpropType" : "Standard", | |
| "defaultConfiguration" : { | |
| "iterationCount" : 0, | |
| "l1ByParam" : { }, | |
| "l2ByParam" : { }, | |
| "layer" : null, | |
| "leakyreluAlpha" : 0.0, | |
| "learningRateByParam" : { }, | |
| "learningRatePolicy" : "None", | |
| "lrPolicyDecayRate" : "NaN", | |
| "lrPolicyPower" : "NaN", | |
| "lrPolicySteps" : "NaN", | |
| "maxNumLineSearchIterations" : 5, | |
| "miniBatch" : true, | |
| "minimize" : true, | |
| "numIterations" : 1, | |
| "optimizationAlgo" : "STOCHASTIC_GRADIENT_DESCENT", | |
| "pretrain" : false, | |
| "seed" : 12345, | |
| "stepFunction" : null, | |
| "useDropConnect" : false, | |
| "useRegularization" : false, | |
| "variables" : [ "predictions_W", "predictions_b" ] | |
| }, | |
| "iterationCount" : 0, | |
| "networkInputs" : [ "fc2" ], | |
| "networkOutputs" : [ "predictions" ], | |
| "pretrain" : false, | |
| "tbpttBackLength" : 20, | |
| "tbpttFwdLength" : 20, | |
| "vertexInputs" : { | |
| "predictions" : [ "fc2" ] | |
| }, | |
| "vertices" : { | |
| "predictions" : { | |
| "LayerVertex" : { | |
| "layerConf" : { | |
| "iterationCount" : 0, | |
| "l1ByParam" : { | |
| "b" : 0.0, | |
| "W" : 0.0 | |
| }, | |
| "l2ByParam" : { | |
| "b" : 0.0, | |
| "W" : 0.0 | |
| }, | |
| "layer" : { | |
| "output" : { | |
| "activationFn" : { | |
| "Softmax" : { } | |
| }, | |
| "adamMeanDecay" : "NaN", | |
| "adamVarDecay" : "NaN", | |
| "biasInit" : 0.0, | |
| "biasLearningRate" : 3.0E-5, | |
| "dist" : { | |
| "mean" : 0.0, | |
| "std" : 9.753718605218241E-5 | |
| }, | |
| "dropOut" : 0.0, | |
| "epsilon" : "NaN", | |
| "gradientNormalization" : "None", | |
| "gradientNormalizationThreshold" : 1.0, | |
| "l1" : 0.0, | |
| "l1Bias" : 0.0, | |
| "l2" : 0.0, | |
| "l2Bias" : 0.0, | |
| "layerName" : "predictions", | |
| "learningRate" : 3.0E-5, | |
| "learningRateSchedule" : null, | |
| "lossFn" : { | |
| "NegativeLogLikelihood" : { } | |
| }, | |
| "lossFunction" : "NEGATIVELOGLIKELIHOOD", | |
| "momentum" : 0.9, | |
| "momentumSchedule" : { }, | |
| "nin" : 4096, | |
| "nout" : 5, | |
| "rho" : "NaN", | |
| "rmsDecay" : "NaN", | |
| "updater" : "NESTEROVS", | |
| "weightInit" : "DISTRIBUTION" | |
| } | |
| }, | |
| "leakyreluAlpha" : 0.0, | |
| "learningRateByParam" : { | |
| "b" : 3.0E-5, | |
| "W" : 3.0E-5 | |
| }, | |
| "learningRatePolicy" : "None", | |
| "lrPolicyDecayRate" : "NaN", | |
| "lrPolicyPower" : "NaN", | |
| "lrPolicySteps" : "NaN", | |
| "maxNumLineSearchIterations" : 5, | |
| "miniBatch" : true, | |
| "minimize" : true, | |
| "numIterations" : 1, | |
| "optimizationAlgo" : "STOCHASTIC_GRADIENT_DESCENT", | |
| "pretrain" : false, | |
| "seed" : 12345, | |
| "stepFunction" : null, | |
| "useDropConnect" : false, | |
| "useRegularization" : false, | |
| "variables" : [ "W", "b" ] | |
| }, | |
| "outputVertex" : false, | |
| "preProcessor" : null | |
| } | |
| } | |
| } | |
| }; line: 59, column: 17] (through reference chain: org.deeplearning4j.nn.conf.ComputationGraphConfiguration["vertices"]->java.util.LinkedHashMap["predictions"]->org.deeplearning4j.nn.conf.graph.LayerVertex["layerConf"]->org.deeplearning4j.nn.conf.NeuralNetConfiguration["layer"]->org.deeplearning4j.nn.conf.layers.OutputLayer["dist"]) | |
| at org.deeplearning4j.parallelism.ParallelWrapper.fit(ParallelWrapper.java:403) | |
| at org.deeplearning4j.examples.multigpu.vgg16.vgg16.FitFromFeaturized.main(FitFromFeaturized.java:128) | |
| Caused by: java.lang.RuntimeException: java.lang.RuntimeException: org.nd4j.shade.jackson.databind.JsonMappingException: Could not resolve type id 'mean' into a subtype of [simple type, class org.deeplearning4j.nn.conf.distribution.Distribution]: known type ids = [Distribution, binomial, gaussian, normal, uniform] | |
| at [Source: { | |
| "backprop" : true, | |
| "backpropType" : "Standard", | |
| "defaultConfiguration" : { | |
| "iterationCount" : 0, | |
| "l1ByParam" : { }, | |
| "l2ByParam" : { }, | |
| "layer" : null, | |
| "leakyreluAlpha" : 0.0, | |
| "learningRateByParam" : { }, | |
| "learningRatePolicy" : "None", | |
| "lrPolicyDecayRate" : "NaN", | |
| "lrPolicyPower" : "NaN", | |
| "lrPolicySteps" : "NaN", | |
| "maxNumLineSearchIterations" : 5, | |
| "miniBatch" : true, | |
| "minimize" : true, | |
| "numIterations" : 1, | |
| "optimizationAlgo" : "STOCHASTIC_GRADIENT_DESCENT", | |
| "pretrain" : false, | |
| "seed" : 12345, | |
| "stepFunction" : null, | |
| "useDropConnect" : false, | |
| "useRegularization" : false, | |
| "variables" : [ "predictions_W", "predictions_b" ] | |
| }, | |
| "iterationCount" : 0, | |
| "networkInputs" : [ "fc2" ], | |
| "networkOutputs" : [ "predictions" ], | |
| "pretrain" : false, | |
| "tbpttBackLength" : 20, | |
| "tbpttFwdLength" : 20, | |
| "vertexInputs" : { | |
| "predictions" : [ "fc2" ] | |
| }, | |
| "vertices" : { | |
| "predictions" : { | |
| "LayerVertex" : { | |
| "layerConf" : { | |
| "iterationCount" : 0, | |
| "l1ByParam" : { | |
| "b" : 0.0, | |
| "W" : 0.0 | |
| }, | |
| "l2ByParam" : { | |
| "b" : 0.0, | |
| "W" : 0.0 | |
| }, | |
| "layer" : { | |
| "output" : { | |
| "activationFn" : { | |
| "Softmax" : { } | |
| }, | |
| "adamMeanDecay" : "NaN", | |
| "adamVarDecay" : "NaN", | |
| "biasInit" : 0.0, | |
| "biasLearningRate" : 3.0E-5, | |
| "dist" : { | |
| "mean" : 0.0, | |
| "std" : 9.753718605218241E-5 | |
| }, | |
| "dropOut" : 0.0, | |
| "epsilon" : "NaN", | |
| "gradientNormalization" : "None", | |
| "gradientNormalizationThreshold" : 1.0, | |
| "l1" : 0.0, | |
| "l1Bias" : 0.0, | |
| "l2" : 0.0, | |
| "l2Bias" : 0.0, | |
| "layerName" : "predictions", | |
| "learningRate" : 3.0E-5, | |
| "learningRateSchedule" : null, | |
| "lossFn" : { | |
| "NegativeLogLikelihood" : { } | |
| }, | |
| "lossFunction" : "NEGATIVELOGLIKELIHOOD", | |
| "momentum" : 0.9, | |
| "momentumSchedule" : { }, | |
| "nin" : 4096, | |
| "nout" : 5, | |
| "rho" : "NaN", | |
| "rmsDecay" : "NaN", | |
| "updater" : "NESTEROVS", | |
| "weightInit" : "DISTRIBUTION" | |
| } | |
| }, | |
| "leakyreluAlpha" : 0.0, | |
| "learningRateByParam" : { | |
| "b" : 3.0E-5, | |
| "W" : 3.0E-5 | |
| }, | |
| "learningRatePolicy" : "None", | |
| "lrPolicyDecayRate" : "NaN", | |
| "lrPolicyPower" : "NaN", | |
| "lrPolicySteps" : "NaN", | |
| "maxNumLineSearchIterations" : 5, | |
| "miniBatch" : true, | |
| "minimize" : true, | |
| "numIterations" : 1, | |
| "optimizationAlgo" : "STOCHASTIC_GRADIENT_DESCENT", | |
| "pretrain" : false, | |
| "seed" : 12345, | |
| "stepFunction" : null, | |
| "useDropConnect" : false, | |
| "useRegularization" : false, | |
| "variables" : [ "W", "b" ] | |
| }, | |
| "outputVertex" : false, | |
| "preProcessor" : null | |
| } | |
| } | |
| } | |
| }; line: 59, column: 17] (through reference chain: org.deeplearning4j.nn.conf.ComputationGraphConfiguration["vertices"]->java.util.LinkedHashMap["predictions"]->org.deeplearning4j.nn.conf.graph.LayerVertex["layerConf"]->org.deeplearning4j.nn.conf.NeuralNetConfiguration["layer"]->org.deeplearning4j.nn.conf.layers.OutputLayer["dist"]) | |
| at org.deeplearning4j.parallelism.ParallelWrapper$Trainer.waitTillRunning(ParallelWrapper.java:814) | |
| at org.deeplearning4j.parallelism.ParallelWrapper.fit(ParallelWrapper.java:401) | |
| ... 1 more | |
| Caused by: java.lang.RuntimeException: org.nd4j.shade.jackson.databind.JsonMappingException: Could not resolve type id 'mean' into a subtype of [simple type, class org.deeplearning4j.nn.conf.distribution.Distribution]: known type ids = [Distribution, binomial, gaussian, normal, uniform] | |
| at [Source: { | |
| "backprop" : true, | |
| "backpropType" : "Standard", | |
| "defaultConfiguration" : { | |
| "iterationCount" : 0, | |
| "l1ByParam" : { }, | |
| "l2ByParam" : { }, | |
| "layer" : null, | |
| "leakyreluAlpha" : 0.0, | |
| "learningRateByParam" : { }, | |
| "learningRatePolicy" : "None", | |
| "lrPolicyDecayRate" : "NaN", | |
| "lrPolicyPower" : "NaN", | |
| "lrPolicySteps" : "NaN", | |
| "maxNumLineSearchIterations" : 5, | |
| "miniBatch" : true, | |
| "minimize" : true, | |
| "numIterations" : 1, | |
| "optimizationAlgo" : "STOCHASTIC_GRADIENT_DESCENT", | |
| "pretrain" : false, | |
| "seed" : 12345, | |
| "stepFunction" : null, | |
| "useDropConnect" : false, | |
| "useRegularization" : false, | |
| "variables" : [ "predictions_W", "predictions_b" ] | |
| }, | |
| "iterationCount" : 0, | |
| "networkInputs" : [ "fc2" ], | |
| "networkOutputs" : [ "predictions" ], | |
| "pretrain" : false, | |
| "tbpttBackLength" : 20, | |
| "tbpttFwdLength" : 20, | |
| "vertexInputs" : { | |
| "predictions" : [ "fc2" ] | |
| }, | |
| "vertices" : { | |
| "predictions" : { | |
| "LayerVertex" : { | |
| "layerConf" : { | |
| "iterationCount" : 0, | |
| "l1ByParam" : { | |
| "b" : 0.0, | |
| "W" : 0.0 | |
| }, | |
| "l2ByParam" : { | |
| "b" : 0.0, | |
| "W" : 0.0 | |
| }, | |
| "layer" : { | |
| "output" : { | |
| "activationFn" : { | |
| "Softmax" : { } | |
| }, | |
| "adamMeanDecay" : "NaN", | |
| "adamVarDecay" : "NaN", | |
| "biasInit" : 0.0, | |
| "biasLearningRate" : 3.0E-5, | |
| "dist" : { | |
| "mean" : 0.0, | |
| "std" : 9.753718605218241E-5 | |
| }, | |
| "dropOut" : 0.0, | |
| "epsilon" : "NaN", | |
| "gradientNormalization" : "None", | |
| "gradientNormalizationThreshold" : 1.0, | |
| "l1" : 0.0, | |
| "l1Bias" : 0.0, | |
| "l2" : 0.0, | |
| "l2Bias" : 0.0, | |
| "layerName" : "predictions", | |
| "learningRate" : 3.0E-5, | |
| "learningRateSchedule" : null, | |
| "lossFn" : { | |
| "NegativeLogLikelihood" : { } | |
| }, | |
| "lossFunction" : "NEGATIVELOGLIKELIHOOD", | |
| "momentum" : 0.9, | |
| "momentumSchedule" : { }, | |
| "nin" : 4096, | |
| "nout" : 5, | |
| "rho" : "NaN", | |
| "rmsDecay" : "NaN", | |
| "updater" : "NESTEROVS", | |
| "weightInit" : "DISTRIBUTION" | |
| } | |
| }, | |
| "leakyreluAlpha" : 0.0, | |
| "learningRateByParam" : { | |
| "b" : 3.0E-5, | |
| "W" : 3.0E-5 | |
| }, | |
| "learningRatePolicy" : "None", | |
| "lrPolicyDecayRate" : "NaN", | |
| "lrPolicyPower" : "NaN", | |
| "lrPolicySteps" : "NaN", | |
| "maxNumLineSearchIterations" : 5, | |
| "miniBatch" : true, | |
| "minimize" : true, | |
| "numIterations" : 1, | |
| "optimizationAlgo" : "STOCHASTIC_GRADIENT_DESCENT", | |
| "pretrain" : false, | |
| "seed" : 12345, | |
| "stepFunction" : null, | |
| "useDropConnect" : false, | |
| "useRegularization" : false, | |
| "variables" : [ "W", "b" ] | |
| }, | |
| "outputVertex" : false, | |
| "preProcessor" : null | |
| } | |
| } | |
| } | |
| }; line: 59, column: 17] (through reference chain: org.deeplearning4j.nn.conf.ComputationGraphConfiguration["vertices"]->java.util.LinkedHashMap["predictions"]->org.deeplearning4j.nn.conf.graph.LayerVertex["layerConf"]->org.deeplearning4j.nn.conf.NeuralNetConfiguration["layer"]->org.deeplearning4j.nn.conf.layers.OutputLayer["dist"]) | |
| at org.deeplearning4j.nn.conf.ComputationGraphConfiguration.fromJson(ComputationGraphConfiguration.java:139) | |
| at org.deeplearning4j.parallelism.ParallelWrapper$Trainer.run(ParallelWrapper.java:742) | |
| Caused by: org.nd4j.shade.jackson.databind.JsonMappingException: Could not resolve type id 'mean' into a subtype of [simple type, class org.deeplearning4j.nn.conf.distribution.Distribution]: known type ids = [Distribution, binomial, gaussian, normal, uniform] | |
| at [Source: { | |
| "backprop" : true, | |
| "backpropType" : "Standard", | |
| "defaultConfiguration" : { | |
| "iterationCount" : 0, | |
| "l1ByParam" : { }, | |
| "l2ByParam" : { }, | |
| "layer" : null, | |
| "leakyreluAlpha" : 0.0, | |
| "learningRateByParam" : { }, | |
| "learningRatePolicy" : "None", | |
| "lrPolicyDecayRate" : "NaN", | |
| "lrPolicyPower" : "NaN", | |
| "lrPolicySteps" : "NaN", | |
| "maxNumLineSearchIterations" : 5, | |
| "miniBatch" : true, | |
| "minimize" : true, | |
| "numIterations" : 1, | |
| "optimizationAlgo" : "STOCHASTIC_GRADIENT_DESCENT", | |
| "pretrain" : false, | |
| "seed" : 12345, | |
| "stepFunction" : null, | |
| "useDropConnect" : false, | |
| "useRegularization" : false, | |
| "variables" : [ "predictions_W", "predictions_b" ] | |
| }, | |
| "iterationCount" : 0, | |
| "networkInputs" : [ "fc2" ], | |
| "networkOutputs" : [ "predictions" ], | |
| "pretrain" : false, | |
| "tbpttBackLength" : 20, | |
| "tbpttFwdLength" : 20, | |
| "vertexInputs" : { | |
| "predictions" : [ "fc2" ] | |
| }, | |
| "vertices" : { | |
| "predictions" : { | |
| "LayerVertex" : { | |
| "layerConf" : { | |
| "iterationCount" : 0, | |
| "l1ByParam" : { | |
| "b" : 0.0, | |
| "W" : 0.0 | |
| }, | |
| "l2ByParam" : { | |
| "b" : 0.0, | |
| "W" : 0.0 | |
| }, | |
| "layer" : { | |
| "output" : { | |
| "activationFn" : { | |
| "Softmax" : { } | |
| }, | |
| "adamMeanDecay" : "NaN", | |
| "adamVarDecay" : "NaN", | |
| "biasInit" : 0.0, | |
| "biasLearningRate" : 3.0E-5, | |
| "dist" : { | |
| "mean" : 0.0, | |
| "std" : 9.753718605218241E-5 | |
| }, | |
| "dropOut" : 0.0, | |
| "epsilon" : "NaN", | |
| "gradientNormalization" : "None", | |
| "gradientNormalizationThreshold" : 1.0, | |
| "l1" : 0.0, | |
| "l1Bias" : 0.0, | |
| "l2" : 0.0, | |
| "l2Bias" : 0.0, | |
| "layerName" : "predictions", | |
| "learningRate" : 3.0E-5, | |
| "learningRateSchedule" : null, | |
| "lossFn" : { | |
| "NegativeLogLikelihood" : { } | |
| }, | |
| "lossFunction" : "NEGATIVELOGLIKELIHOOD", | |
| "momentum" : 0.9, | |
| "momentumSchedule" : { }, | |
| "nin" : 4096, | |
| "nout" : 5, | |
| "rho" : "NaN", | |
| "rmsDecay" : "NaN", | |
| "updater" : "NESTEROVS", | |
| "weightInit" : "DISTRIBUTION" | |
| } | |
| }, | |
| "leakyreluAlpha" : 0.0, | |
| "learningRateByParam" : { | |
| "b" : 3.0E-5, | |
| "W" : 3.0E-5 | |
| }, | |
| "learningRatePolicy" : "None", | |
| "lrPolicyDecayRate" : "NaN", | |
| "lrPolicyPower" : "NaN", | |
| "lrPolicySteps" : "NaN", | |
| "maxNumLineSearchIterations" : 5, | |
| "miniBatch" : true, | |
| "minimize" : true, | |
| "numIterations" : 1, | |
| "optimizationAlgo" : "STOCHASTIC_GRADIENT_DESCENT", | |
| "pretrain" : false, | |
| "seed" : 12345, | |
| "stepFunction" : null, | |
| "useDropConnect" : false, | |
| "useRegularization" : false, | |
| "variables" : [ "W", "b" ] | |
| }, | |
| "outputVertex" : false, | |
| "preProcessor" : null | |
| } | |
| } | |
| } | |
| }; line: 59, column: 17] (through reference chain: org.deeplearning4j.nn.conf.ComputationGraphConfiguration["vertices"]->java.util.LinkedHashMap["predictions"]->org.deeplearning4j.nn.conf.graph.LayerVertex["layerConf"]->org.deeplearning4j.nn.conf.NeuralNetConfiguration["layer"]->org.deeplearning4j.nn.conf.layers.OutputLayer["dist"]) | |
| at org.nd4j.shade.jackson.databind.JsonMappingException.from(JsonMappingException.java:148) | |
| at org.nd4j.shade.jackson.databind.DeserializationContext.unknownTypeException(DeserializationContext.java:948) | |
| at org.nd4j.shade.jackson.databind.jsontype.impl.TypeDeserializerBase._handleUnknownTypeId(TypeDeserializerBase.java:275) | |
| at org.nd4j.shade.jackson.databind.jsontype.impl.TypeDeserializerBase._findDeserializer(TypeDeserializerBase.java:162) | |
| at org.nd4j.shade.jackson.databind.jsontype.impl.AsWrapperTypeDeserializer._deserialize(AsWrapperTypeDeserializer.java:100) | |
| at org.nd4j.shade.jackson.databind.jsontype.impl.AsWrapperTypeDeserializer.deserializeTypedFromObject(AsWrapperTypeDeserializer.java:49) | |
| at org.nd4j.shade.jackson.databind.deser.AbstractDeserializer.deserializeWithType(AbstractDeserializer.java:131) | |
| at org.nd4j.shade.jackson.databind.deser.SettableBeanProperty.deserialize(SettableBeanProperty.java:521) | |
| at org.nd4j.shade.jackson.databind.deser.impl.MethodProperty.deserializeAndSet(MethodProperty.java:95) | |
| at org.nd4j.shade.jackson.databind.deser.impl.BeanPropertyMap._findDeserializeAndSet2(BeanPropertyMap.java:313) | |
| at org.nd4j.shade.jackson.databind.deser.impl.BeanPropertyMap.findDeserializeAndSet(BeanPropertyMap.java:291) | |
| at org.nd4j.shade.jackson.databind.deser.BeanDeserializer.vanillaDeserialize(BeanDeserializer.java:248) | |
| at org.nd4j.shade.jackson.databind.deser.BeanDeserializer.deserialize(BeanDeserializer.java:136) | |
| at org.nd4j.shade.jackson.databind.jsontype.impl.AsWrapperTypeDeserializer._deserialize(AsWrapperTypeDeserializer.java:114) | |
| at org.nd4j.shade.jackson.databind.jsontype.impl.AsWrapperTypeDeserializer.deserializeTypedFromObject(AsWrapperTypeDeserializer.java:49) | |
| at org.nd4j.shade.jackson.databind.deser.AbstractDeserializer.deserializeWithType(AbstractDeserializer.java:131) | |
| at org.nd4j.shade.jackson.databind.deser.SettableBeanProperty.deserialize(SettableBeanProperty.java:521) | |
| at org.nd4j.shade.jackson.databind.deser.impl.MethodProperty.deserializeAndSet(MethodProperty.java:95) | |
| at org.nd4j.shade.jackson.databind.deser.impl.BeanPropertyMap.findDeserializeAndSet(BeanPropertyMap.java:285) | |
| at org.nd4j.shade.jackson.databind.deser.BeanDeserializer.vanillaDeserialize(BeanDeserializer.java:248) | |
| at org.nd4j.shade.jackson.databind.deser.BeanDeserializer.deserialize(BeanDeserializer.java:136) | |
| at org.nd4j.shade.jackson.databind.deser.SettableBeanProperty.deserialize(SettableBeanProperty.java:523) | |
| at org.nd4j.shade.jackson.databind.deser.impl.MethodProperty.deserializeAndSet(MethodProperty.java:95) | |
| at org.nd4j.shade.jackson.databind.deser.impl.BeanPropertyMap.findDeserializeAndSet(BeanPropertyMap.java:285) | |
| at org.nd4j.shade.jackson.databind.deser.BeanDeserializer.vanillaDeserialize(BeanDeserializer.java:248) | |
| at org.nd4j.shade.jackson.databind.deser.BeanDeserializer.deserialize(BeanDeserializer.java:136) | |
| at org.nd4j.shade.jackson.databind.jsontype.impl.AsWrapperTypeDeserializer._deserialize(AsWrapperTypeDeserializer.java:114) | |
| at org.nd4j.shade.jackson.databind.jsontype.impl.AsWrapperTypeDeserializer.deserializeTypedFromObject(AsWrapperTypeDeserializer.java:49) | |
| at org.nd4j.shade.jackson.databind.deser.AbstractDeserializer.deserializeWithType(AbstractDeserializer.java:131) | |
| at org.nd4j.shade.jackson.databind.deser.std.MapDeserializer._readAndBindStringMap(MapDeserializer.java:475) | |
| at org.nd4j.shade.jackson.databind.deser.std.MapDeserializer.deserialize(MapDeserializer.java:330) | |
| at org.nd4j.shade.jackson.databind.deser.std.MapDeserializer.deserialize(MapDeserializer.java:25) | |
| at org.nd4j.shade.jackson.databind.deser.SettableBeanProperty.deserialize(SettableBeanProperty.java:523) | |
| at org.nd4j.shade.jackson.databind.deser.impl.MethodProperty.deserializeAndSet(MethodProperty.java:95) | |
| at org.nd4j.shade.jackson.databind.deser.impl.BeanPropertyMap.findDeserializeAndSet(BeanPropertyMap.java:285) | |
| at org.nd4j.shade.jackson.databind.deser.BeanDeserializer.vanillaDeserialize(BeanDeserializer.java:248) | |
| at org.nd4j.shade.jackson.databind.deser.BeanDeserializer.deserialize(BeanDeserializer.java:136) | |
| at org.nd4j.shade.jackson.databind.ObjectMapper._readMapAndClose(ObjectMapper.java:3562) | |
| at org.nd4j.shade.jackson.databind.ObjectMapper.readValue(ObjectMapper.java:2578) | |
| at org.deeplearning4j.nn.conf.ComputationGraphConfigurat |
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