Removed unused imports (#9077)

Signed-off-by: Dariusz Zbyrad <dariusz.zbyrad@gmail.com>
2020-09-01 10:55:48 +02:00 · 2020-09-01 10:55:48 +02:00 · 1de8837c39
parent 4f9b6fcf1e
commit 1de8837c39
163 changed files with 0 additions and 326 deletions
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/RandomTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/RandomTests.java
@ -8,14 +8,11 @@ import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.junit.Ignore;
 import org.junit.Test;
 import org.nd4j.common.resources.Resources;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.learning.config.RmsProp;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.nio.file.Files;
 import java.util.concurrent.CountDownLatch;
@Ignore
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/fetchers/SvhnDataFetcherTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/fetchers/SvhnDataFetcherTest.java
@ -17,9 +17,7 @@
 package org.deeplearning4j.datasets.fetchers;
 import org.deeplearning4j.BaseDL4JTest;
 import org.junit.Rule;
 import org.junit.Test;
 import org.junit.rules.Timeout;
 import java.io.File;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DataSetSplitterTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DataSetSplitterTests.java
@ -22,9 +22,7 @@ import org.deeplearning4j.datasets.iterator.tools.DataSetGenerator;
 import org.junit.Test;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.exception.ND4JIllegalStateException;
 import org.nd4j.linalg.factory.Nd4j;
 import java.util.Collections;
 import java.util.List;
 import java.util.Random;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/JointParallelDataSetIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/JointParallelDataSetIteratorTest.java
@ -17,7 +17,6 @@
 package org.deeplearning4j.datasets.iterator;
 import lombok.extern.slf4j.Slf4j;
 import lombok.val;
 import org.deeplearning4j.BaseDL4JTest;
 import org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator;
 import org.deeplearning4j.datasets.iterator.tools.SimpleVariableGenerator;
@ -25,7 +24,6 @@ import org.junit.Test;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.enums.InequalityHandling;
 import org.nd4j.linalg.factory.Nd4j;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotNull;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/MultiDataSetSplitterTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/MultiDataSetSplitterTests.java
@ -18,10 +18,8 @@ package org.deeplearning4j.datasets.iterator;
 import lombok.val;
 import org.deeplearning4j.BaseDL4JTest;
 import org.deeplearning4j.datasets.iterator.tools.DataSetGenerator;
 import org.deeplearning4j.datasets.iterator.tools.MultiDataSetGenerator;
 import org.junit.Test;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 import org.nd4j.linalg.exception.ND4JIllegalStateException;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/DataSetGenerator.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/DataSetGenerator.java
@ -17,7 +17,6 @@
 package org.deeplearning4j.datasets.iterator.tools;
 import lombok.NonNull;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/ROCTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/ROCTest.java
@ -25,16 +25,13 @@ import org.deeplearning4j.nn.conf.layers.OutputLayer;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.nn.weights.WeightInit;
 import org.junit.Test;
 import org.nd4j.evaluation.curves.PrecisionRecallCurve;
 import org.nd4j.evaluation.curves.RocCurve;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.indexing.NDArrayIndex;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.util.*;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestRecordReaders.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestRecordReaders.java
@ -24,7 +24,6 @@ import org.datavec.api.writable.Writable;
 import org.deeplearning4j.BaseDL4JTest;
 import org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator;
 import org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator;
 import org.deeplearning4j.exception.DL4JException;
 import org.junit.Test;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/BNGradientCheckTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/BNGradientCheckTest.java
@ -34,7 +34,6 @@ import org.junit.Test;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.executioner.OpExecutioner;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.preprocessor.DataNormalization;
@ -42,8 +41,6 @@ import org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.learning.config.NoOp;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 import org.nd4j.linalg.profiler.OpProfiler;
 import org.nd4j.linalg.profiler.ProfilerConfig;
 import java.util.Arrays;
 import java.util.HashSet;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN1DGradientCheckTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN1DGradientCheckTest.java
@ -28,7 +28,6 @@ import org.deeplearning4j.nn.conf.layers.*;
 import org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.util.Convolution1DUtils;
 import org.deeplearning4j.util.ConvolutionUtils;
 import org.junit.Test;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.api.buffer.DataType;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN3DGradientCheckTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN3DGradientCheckTest.java
@ -31,7 +31,6 @@ import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.nn.weights.WeightInit;
 import org.junit.Test;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNNGradientCheckTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNNGradientCheckTest.java
@ -16,7 +16,6 @@
 package org.deeplearning4j.gradientcheck;
 import lombok.val;
 import org.deeplearning4j.BaseDL4JTest;
 import org.deeplearning4j.TestUtils;
 import org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CapsnetGradientCheckTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CapsnetGradientCheckTest.java
@ -39,8 +39,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.learning.config.NoOp;
 import org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood;
 import java.util.Random;
 public class CapsnetGradientCheckTest extends BaseDL4JTest {
    @Override
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTests.java
@ -50,7 +50,6 @@ import org.nd4j.linalg.ops.transforms.Transforms;
 import java.util.Random;
 import static org.deeplearning4j.gradientcheck.GradientCheckUtil.checkGradients;
 import static org.junit.Assert.*;
 /**
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTestsComputationGraph.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTestsComputationGraph.java
@ -32,9 +32,6 @@ import org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.conf.layers.*;
 import org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn;
 import org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor;
 import org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor;
 import org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.nn.weights.WeightInit;
@ -48,7 +45,6 @@ import org.nd4j.linalg.indexing.NDArrayIndex;
 import org.nd4j.linalg.learning.config.NoOp;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.util.Arrays;
 import java.util.Map;
 import java.util.Random;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/MultiNeuralNetConfLayerBuilderTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/MultiNeuralNetConfLayerBuilderTest.java
@ -17,23 +17,14 @@
 package org.deeplearning4j.nn.conf;
 import org.deeplearning4j.BaseDL4JTest;
 import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator;
 import org.deeplearning4j.nn.api.OptimizationAlgorithm;
 import org.deeplearning4j.nn.conf.layers.DenseLayer;
 import org.deeplearning4j.nn.conf.layers.OutputLayer;
 import org.deeplearning4j.nn.conf.layers.SubsamplingLayer.PoolingType;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.nn.params.DefaultParamInitializer;
 import org.deeplearning4j.nn.weights.WeightInit;
 import org.junit.Test;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.convolution.Convolution;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction;
 import static org.junit.Assert.assertArrayEquals;
 import static org.junit.Assert.assertFalse;
 /**
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/graph/ElementWiseVertexTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/graph/ElementWiseVertexTest.java
@ -42,8 +42,6 @@ import org.nd4j.common.primitives.Pair;
 import java.util.Map;
 import static org.junit.Assert.assertArrayEquals;
 /**
 * Created by binesh on 6/14/2017.
 */
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/CustomPreprocessorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/CustomPreprocessorTest.java
@ -17,7 +17,6 @@
 package org.deeplearning4j.nn.conf.preprocessor;
 import org.deeplearning4j.BaseDL4JTest;
 import org.deeplearning4j.nn.conf.InputPreProcessor;
 import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
 import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.conf.layers.DenseLayer;
@ -30,8 +29,6 @@ import org.nd4j.shade.jackson.databind.ObjectMapper;
 import org.nd4j.shade.jackson.databind.introspect.AnnotatedClass;
 import org.nd4j.shade.jackson.databind.jsontype.NamedType;
 import java.util.Collection;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/dtypes/DTypeTests.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/dtypes/DTypeTests.java
@ -62,7 +62,6 @@ import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.nn.weights.WeightInit;
 import org.deeplearning4j.nn.weights.WeightInitDistribution;
 import org.junit.AfterClass;
 import org.junit.Ignore;
 import org.junit.Test;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.activations.impl.ActivationSoftmax;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestCompGraphUnsupervised.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestCompGraphUnsupervised.java
@ -38,7 +38,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.indexing.conditions.Conditions;
 import org.nd4j.linalg.learning.config.Adam;
 import java.util.Arrays;
 import java.util.HashMap;
 import java.util.Map;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/FrozenLayerWithBackpropTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/FrozenLayerWithBackpropTest.java
@ -18,7 +18,6 @@ package org.deeplearning4j.nn.layers;
 import lombok.extern.slf4j.Slf4j;
 import org.deeplearning4j.BaseDL4JTest;
 import org.deeplearning4j.nn.api.Layer;
 import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
 import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
 import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
@ -27,8 +26,6 @@ import org.deeplearning4j.nn.conf.layers.DenseLayer;
 import org.deeplearning4j.nn.conf.layers.OutputLayer;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.nn.transferlearning.FineTuneConfiguration;
 import org.deeplearning4j.nn.transferlearning.TransferLearning;
 import org.deeplearning4j.nn.weights.WeightInit;
 import org.junit.Test;
 import org.nd4j.linalg.activations.Activation;
@ -38,11 +35,8 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.learning.config.Sgd;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.util.List;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertNotEquals;
 import static org.junit.Assert.assertNotNull;
 /**
 * Created by Ugljesa Jovanovic (jovanovic.ugljesa@gmail.com) on 06/05/2018.
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/TestDropout.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/TestDropout.java
@ -16,26 +16,20 @@
 package org.deeplearning4j.nn.layers;
 import lombok.val;
 import org.deeplearning4j.BaseDL4JTest;
 import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
 import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.conf.distribution.UniformDistribution;
 import org.deeplearning4j.nn.conf.layers.DenseLayer;
 import org.deeplearning4j.nn.conf.layers.OutputLayer;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.nn.weights.WeightInit;
 import org.junit.Ignore;
 import org.junit.Test;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.api.iter.NdIndexIterator;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.learning.config.Sgd;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.lang.reflect.Field;
 import java.util.List;
 import static org.junit.Assert.assertEquals;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Convolution3DTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Convolution3DTest.java
@ -32,7 +32,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.util.Arrays;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 /**
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/LocallyConnectedLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/LocallyConnectedLayerTest.java
@ -26,15 +26,12 @@ import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.conf.layers.*;
 import org.deeplearning4j.nn.conf.layers.ConvolutionLayer;
 import org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.deeplearning4j.nn.weights.WeightInit;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.junit.Before;
 import org.junit.Test;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.buffer.util.DataTypeUtil;
 import org.nd4j.linalg.api.ndarray.INDArray;
@ -44,7 +41,6 @@ import org.nd4j.linalg.learning.config.Nesterovs;
 import org.nd4j.linalg.learning.config.NoOp;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.util.Arrays;
 import java.util.Map;
 import static org.junit.Assert.assertArrayEquals;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomActivation.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomActivation.java
@ -24,17 +24,13 @@ import org.deeplearning4j.nn.conf.layers.OutputLayer;
 import org.deeplearning4j.nn.layers.custom.testclasses.CustomActivation;
 import org.junit.Test;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.activations.IActivation;
 import org.nd4j.linalg.learning.config.Sgd;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 import org.nd4j.shade.jackson.databind.ObjectMapper;
 import org.nd4j.shade.jackson.databind.introspect.AnnotatedClass;
 import org.nd4j.shade.jackson.databind.jsontype.NamedType;
 import java.util.Collection;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
 /**
 * Created by Alex on 19/12/2016.
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomLayers.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomLayers.java
@ -21,7 +21,6 @@ import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
 import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
 import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.conf.layers.DenseLayer;
 import org.deeplearning4j.nn.conf.layers.Layer;
 import org.deeplearning4j.nn.conf.layers.OutputLayer;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.layers.custom.testclasses.CustomLayer;
@ -39,10 +38,6 @@ import org.nd4j.shade.jackson.databind.ObjectMapper;
 import org.nd4j.shade.jackson.databind.introspect.AnnotatedClass;
 import org.nd4j.shade.jackson.databind.jsontype.NamedType;
 import java.util.Collection;
 import java.util.HashSet;
 import java.util.Set;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/feedforward/embedding/EmbeddingLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/feedforward/embedding/EmbeddingLayerTest.java
@ -42,7 +42,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.learning.config.Sgd;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.util.Arrays;
 import java.util.List;
 import java.util.Map;
 import java.util.Random;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/ocnn/OCNNOutputLayerTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/ocnn/OCNNOutputLayerTest.java
@ -32,7 +32,6 @@ import org.junit.rules.TemporaryFolder;
 import org.nd4j.linalg.activations.impl.ActivationIdentity;
 import org.nd4j.linalg.activations.impl.ActivationReLU;
 import org.nd4j.linalg.activations.impl.ActivationSigmoid;
 import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.DataSet;
@ -40,10 +39,7 @@ import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.learning.config.Adam;
 import org.nd4j.linalg.learning.config.Nesterovs;
 import org.nd4j.linalg.learning.config.NoOp;
 import org.nd4j.linalg.schedule.ScheduleType;
 import org.nd4j.linalg.schedule.StepSchedule;
 import java.io.File;
 import java.util.UUID;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestSimpleRnn.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestSimpleRnn.java
@ -36,7 +36,6 @@ import org.nd4j.linalg.ops.transforms.Transforms;
 import static org.junit.Assert.assertEquals;
 import static org.nd4j.linalg.indexing.NDArrayIndex.all;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 import static org.nd4j.linalg.indexing.NDArrayIndex.point;
@RunWith(Parameterized.class)
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffConv.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffConv.java
@ -44,7 +44,6 @@ import java.util.Map;
 import java.util.Random;
 import static org.junit.Assert.*;
 import static org.junit.Assume.assumeTrue;
@Slf4j
 public class TestSameDiffConv extends BaseDL4JTest {
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffSimpleLambdaVertex.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffSimpleLambdaVertex.java
@ -16,7 +16,6 @@
 package org.deeplearning4j.nn.layers.samediff.testlayers;
 import org.deeplearning4j.nn.conf.graph.GraphVertex;
 import org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaVertex;
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/LargeNetTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/LargeNetTest.java
@ -27,7 +27,6 @@ import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.junit.Ignore;
 import org.junit.Test;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestLrChanges.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestLrChanges.java
@ -22,7 +22,6 @@ import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
 import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.conf.layers.DenseLayer;
 import org.deeplearning4j.nn.conf.layers.OutputLayer;
 import org.deeplearning4j.nn.conf.weightnoise.DropConnect;
 import org.deeplearning4j.nn.graph.ComputationGraph;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
 import org.junit.Test;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/BackPropMLPTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/BackPropMLPTest.java
@ -29,11 +29,9 @@ import org.deeplearning4j.nn.weights.WeightInit;
 import org.deeplearning4j.optimize.listeners.ScoreIterationListener;
 import org.junit.Test;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.iter.NdIndexIterator;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.impl.transforms.strict.SigmoidDerivative;
 import org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.exception.ND4JArraySizeException;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestVariableLengthTS.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestVariableLengthTS.java
@ -42,7 +42,6 @@ import org.nd4j.linalg.learning.config.NoOp;
 import org.nd4j.linalg.learning.config.Sgd;
 import org.nd4j.linalg.lossfunctions.LossFunctions;
 import java.util.Arrays;
 import java.util.List;
 import java.util.Map;
 import java.util.Random;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/EncodedGradientsAccumulatorTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/EncodedGradientsAccumulatorTest.java
@ -23,11 +23,8 @@ import org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumula
 import org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler;
 import org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.FixedThresholdAlgorithm;
 import org.junit.Test;
 import org.nd4j.linalg.api.concurrency.AffinityManager;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.util.PrintAffinity;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.nativeblas.OpaqueDataBuffer;
 import static org.junit.Assert.assertNotNull;
 import static org.junit.Assert.assertTrue;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/SystemPollingTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/SystemPollingTest.java
@ -28,7 +28,6 @@ import org.nd4j.linalg.factory.Nd4j;
 import java.io.File;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
@Ignore("AB 2019/05/24 - Failing on CI - \"Could not initialize class oshi.jna.platform.linux.Libc\" - Issue #7657")
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/plot/BarnesHutTsneTest.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/plot/BarnesHutTsneTest.java
@ -50,7 +50,6 @@ import java.util.List;
 import static org.junit.Assert.assertArrayEquals;
 import static org.junit.Assert.assertEquals;
 import static org.nd4j.linalg.factory.Nd4j.zeros;
 // import org.nd4j.jita.conf.CudaEnvironment;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest050.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest050.java
@ -28,9 +28,7 @@ import org.deeplearning4j.nn.weights.WeightInitDistribution;
 import org.deeplearning4j.nn.weights.WeightInitRelu;
 import org.deeplearning4j.nn.weights.WeightInitXavier;
 import org.deeplearning4j.util.ModelSerializer;
 import org.junit.Rule;
 import org.junit.Test;
 import org.junit.rules.Timeout;
 import org.nd4j.linalg.activations.impl.ActivationLReLU;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.factory.Nd4j;
--- a/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/samediff/CompareTrainingImplementations.java
+++ b/deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/samediff/CompareTrainingImplementations.java
@ -50,7 +50,6 @@ import org.nd4j.weightinit.impl.XavierInitScheme;
 import java.util.*;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.fail;
@Slf4j
 public class CompareTrainingImplementations extends BaseDL4JTest {
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/UciSequenceDataFetcher.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/UciSequenceDataFetcher.java
@ -22,8 +22,6 @@ import org.apache.commons.io.IOUtils;
 import org.datavec.api.records.reader.impl.csv.CSVSequenceRecordReader;
 import org.datavec.api.split.NumberedFileInputSplit;
 import org.datavec.image.transform.ImageTransform;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 import java.io.File;
 import java.net.URL;
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyBlockMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyBlockMultiDataSetIterator.java
@ -19,11 +19,8 @@ package org.deeplearning4j.datasets.iterator;
 import lombok.NonNull;
 import lombok.extern.slf4j.Slf4j;
 import lombok.val;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.iterator.BlockDataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.BlockMultiDataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 import java.util.ArrayList;
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/IteratorMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/IteratorMultiDataSetIterator.java
@ -17,7 +17,6 @@
 package org.deeplearning4j.datasets.iterator;
 import lombok.val;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultiDataSetIteratorSplitter.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultiDataSetIteratorSplitter.java
@ -21,7 +21,6 @@ import lombok.extern.slf4j.Slf4j;
 import lombok.val;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 import org.nd4j.linalg.exception.ND4JIllegalStateException;
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/SamplingDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/SamplingDataSetIterator.java
@ -16,12 +16,7 @@
 package org.deeplearning4j.datasets.iterator;
 import lombok.Getter;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import java.util.List;
 /**
 * @deprecated Use {@link org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator}
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableDataSetIterator.java
@ -5,7 +5,6 @@ import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.MultiDataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicBoolean;
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableMultiDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableMultiDataSetIterator.java
@ -3,13 +3,9 @@ package org.deeplearning4j.datasets.iterator;
 import lombok.val;
 import org.nd4j.linalg.dataset.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
 import javax.naming.OperationNotSupportedException;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicLong;
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DataSetCallback.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DataSetCallback.java
@ -17,9 +17,6 @@
 package org.deeplearning4j.datasets.iterator.callbacks;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 /**
 * @deprecated Use {@link org.nd4j.linalg.dataset.callbacks.DataSetCallback}
 */
--- a/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DefaultCallback.java
+++ b/deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DefaultCallback.java
@ -16,11 +16,6 @@
 package org.deeplearning4j.datasets.iterator.callbacks;
 import org.nd4j.linalg.api.concurrency.AffinityManager;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.MultiDataSet;
 import org.nd4j.linalg.factory.Nd4j;
 /**
 * @deprecated use {@link org.nd4j.linalg.dataset.callbacks.DefaultCallback}
 */
--- a/deeplearning4j/deeplearning4j-dataimport-solrj/src/main/java/org/deeplearning4j/nn/dataimport/solr/client/solrj/io/stream/TupleStreamDataSetIterator.java
+++ b/deeplearning4j/deeplearning4j-dataimport-solrj/src/main/java/org/deeplearning4j/nn/dataimport/solr/client/solrj/io/stream/TupleStreamDataSetIterator.java
@ -24,8 +24,6 @@ import java.util.List;
 import lombok.Getter;
 import org.apache.solr.client.solrj.io.SolrClientCache;
 import org.apache.solr.client.solrj.io.Tuple;
 import org.apache.solr.client.solrj.io.stream.CloudSolrStream;
 import org.apache.solr.client.solrj.io.stream.TupStream;
 import org.apache.solr.client.solrj.io.stream.StreamContext;
 import org.apache.solr.client.solrj.io.stream.TupleStream;
 import org.apache.solr.client.solrj.io.stream.expr.DefaultStreamFactory;
--- a/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/main/java/org/deeplearning4j/plot/BarnesHutTsne.java
+++ b/deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/main/java/org/deeplearning4j/plot/BarnesHutTsne.java
@ -52,7 +52,6 @@ import java.util.*;
 import static org.nd4j.linalg.factory.Nd4j.*;
 import static org.nd4j.linalg.ops.transforms.Transforms.pow;
 import static org.nd4j.linalg.ops.transforms.Transforms.sign;
 /**
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasInput.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasInput.java
@ -19,7 +19,6 @@ package org.deeplearning4j.nn.modelimport.keras.layers;
 import lombok.Data;
 import lombok.EqualsAndHashCode;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.lang3.ArrayUtils;
 import org.deeplearning4j.nn.conf.CNN2DFormat;
 import org.deeplearning4j.nn.conf.RNNFormat;
 import org.deeplearning4j.nn.conf.inputs.InputType;
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/TFOpLayerImpl.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/TFOpLayerImpl.java
@ -36,7 +36,6 @@ import org.nd4j.shade.protobuf.Message;
 import org.nd4j.shade.protobuf.TextFormat;
 import java.util.*;
 import java.util.List;
@Slf4j
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasELU.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasELU.java
@ -24,7 +24,6 @@ import org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfig
 import org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils;
 import org.nd4j.linalg.activations.IActivation;
 import org.nd4j.linalg.activations.impl.ActivationELU;
 import org.nd4j.linalg.activations.impl.ActivationLReLU;
 import java.util.Map;
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasReLU.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasReLU.java
@ -22,8 +22,6 @@ import org.deeplearning4j.nn.modelimport.keras.KerasLayer;
 import org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException;
 import org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException;
 import org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils;
 import org.nd4j.linalg.activations.IActivation;
 import org.nd4j.linalg.activations.impl.ActivationLReLU;
 import org.nd4j.linalg.activations.impl.ActivationReLU;
 import java.util.Map;
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution1D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution1D.java
@ -19,7 +19,6 @@ package org.deeplearning4j.nn.modelimport.keras.layers.convolutional;
 import lombok.Data;
 import lombok.EqualsAndHashCode;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.lang3.ArrayUtils;
 import org.deeplearning4j.nn.api.layers.LayerConstraint;
 import org.deeplearning4j.nn.conf.InputPreProcessor;
 import org.deeplearning4j.nn.conf.RNNFormat;
@ -32,7 +31,6 @@ import org.deeplearning4j.nn.modelimport.keras.utils.KerasConstraintUtils;
 import org.deeplearning4j.nn.params.ConvolutionParamInitializer;
 import org.deeplearning4j.nn.weights.IWeightInit;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 import java.util.HashMap;
 import java.util.Map;
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution2D.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution2D.java
@ -28,7 +28,6 @@ import org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurat
 import org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException;
 import org.deeplearning4j.nn.modelimport.keras.utils.KerasConstraintUtils;
 import org.deeplearning4j.nn.weights.IWeightInit;
 import oshi.jna.platform.windows.PowrProf;
 import java.util.Map;
--- a/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectional.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectional.java
@ -23,7 +23,6 @@ import org.deeplearning4j.nn.conf.layers.LSTM;
 import org.deeplearning4j.nn.conf.layers.Layer;
 import org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional;
 import org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep;
 import org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn;
 import org.deeplearning4j.nn.modelimport.keras.KerasLayer;
 import org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException;
 import org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException;
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/SpTree.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/SpTree.java
@ -17,21 +17,17 @@
 package org.deeplearning4j.clustering.sptree;
 import org.nd4j.shade.guava.util.concurrent.AtomicDouble;
 import lombok.val;
 import org.deeplearning4j.clustering.algorithm.Distance;
 import org.deeplearning4j.nn.conf.WorkspaceMode;
 import org.nd4j.linalg.api.memory.MemoryWorkspace;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.custom.BarnesEdgeForces;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.api.memory.abstracts.DummyWorkspace;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.Collection;
 import java.util.Set;
 /**
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/VPTree.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/VPTree.java
@ -21,9 +21,7 @@ import lombok.extern.slf4j.Slf4j;
 import org.deeplearning4j.clustering.sptree.DataPoint;
 import org.deeplearning4j.clustering.sptree.HeapObject;
 import org.deeplearning4j.clustering.util.MathUtils;
 import org.nd4j.linalg.api.memory.MemoryWorkspace;
 import org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration;
 import org.nd4j.linalg.api.memory.enums.*;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.api.ops.impl.reduce3.*;
 import org.nd4j.linalg.exception.ND4JIllegalStateException;
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/kmeans/KMeansTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/kmeans/KMeansTest.java
@ -16,7 +16,6 @@
 package org.deeplearning4j.clustering.kmeans;
 import lombok.val;
 import org.apache.commons.lang3.time.StopWatch;
 import org.deeplearning4j.BaseDL4JTest;
 import org.deeplearning4j.clustering.algorithm.Distance;
--- a/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/lsh/RandomProjectionLSHTest.java
+++ b/deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/lsh/RandomProjectionLSHTest.java
@ -19,7 +19,6 @@ package org.deeplearning4j.clustering.lsh;
 import org.deeplearning4j.BaseDL4JTest;
 import org.junit.After;
 import org.junit.Before;
 import org.junit.Ignore;
 import org.junit.Test;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/DoubleArrayTrie.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/DoubleArrayTrie.java
@ -19,7 +19,6 @@ package com.atilika.kuromoji.trie;
 import com.atilika.kuromoji.compile.ProgressLog;
 import com.atilika.kuromoji.util.KuromojiBinFilesFetcher;
 import com.atilika.kuromoji.util.ResourceResolver;
 import org.apache.commons.io.FilenameUtils;
 import java.io.*;
 import java.nio.ByteBuffer;
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/BatchSequences.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/BatchSequences.java
@ -21,7 +21,6 @@ import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
@Slf4j
 public class BatchSequences<T extends SequenceElement> {
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/CBOW.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/CBOW.java
@ -19,8 +19,6 @@ package org.deeplearning4j.models.embeddings.learning.impl.elements;
 import lombok.Getter;
 import lombok.NonNull;
 import lombok.Setter;
 import lombok.val;
 import org.apache.commons.lang3.ArrayUtils;
 import org.apache.commons.lang3.RandomUtils;
 import org.deeplearning4j.models.embeddings.WeightLookupTable;
 import org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable;
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/SkipGram.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/SkipGram.java
@ -38,12 +38,9 @@ import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.util.DeviceLocalNDArray;
 import java.util.ArrayList;
 import java.util.Comparator;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicLong;
 import static org.datavec.api.transform.ColumnType.NDArray;
 /**
 * Skip-Gram implementation for dl4j SequenceVectors
 *
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/SentenceTransformer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/SentenceTransformer.java
@ -20,7 +20,6 @@ import lombok.NonNull;
 import org.deeplearning4j.models.sequencevectors.sequence.Sequence;
 import org.deeplearning4j.models.sequencevectors.transformers.SequenceTransformer;
 import org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator;
 import org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator;
 import org.deeplearning4j.models.word2vec.VocabWord;
 import org.deeplearning4j.models.word2vec.wordstore.VocabCache;
 import org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator;
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/iterables/ParallelTransformerIterator.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/iterables/ParallelTransformerIterator.java
@ -18,7 +18,6 @@ package org.deeplearning4j.models.sequencevectors.transformers.impl.iterables;
 import lombok.NonNull;
 import lombok.extern.slf4j.Slf4j;
 import lombok.val;
 import org.deeplearning4j.models.sequencevectors.sequence.Sequence;
 import org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer;
 import org.deeplearning4j.models.word2vec.VocabWord;
@ -26,8 +25,6 @@ import org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator;
 import org.deeplearning4j.text.documentiterator.LabelAwareIterator;
 import org.deeplearning4j.text.documentiterator.LabelledDocument;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.*;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.concurrent.atomic.AtomicInteger;
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceStreamTokenizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceStreamTokenizer.java
@ -23,7 +23,6 @@ import org.apache.commons.io.IOUtils;
 import java.io.*;
 import java.nio.charset.Charset;
 import java.util.*;
 import java.util.concurrent.atomic.AtomicInteger;
 /**
 * A tokenizer that works with a vocab from a published bert model and tokenizes a token at a time from a stream
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceTokenizer.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceTokenizer.java
@ -17,7 +17,6 @@
 package org.deeplearning4j.text.tokenization.tokenizer;
 import lombok.extern.slf4j.Slf4j;
 import org.deeplearning4j.text.tokenization.tokenizer.preprocessor.BertWordPiecePreProcessor;
 import java.util.*;
 import java.util.concurrent.atomic.AtomicInteger;
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/models/sequencevectors/serialization/ExtVocabWord.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/models/sequencevectors/serialization/ExtVocabWord.java
@ -17,7 +17,6 @@
 package org.deeplearning4j.models.sequencevectors.serialization;
 import lombok.Data;
 import lombok.NoArgsConstructor;
 import lombok.NonNull;
 import org.deeplearning4j.models.word2vec.VocabWord;
 import org.nd4j.shade.jackson.annotation.JsonAutoDetect;
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/models/word2vec/Word2VecTestsSmall.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/models/word2vec/Word2VecTestsSmall.java
@ -47,7 +47,6 @@ import java.io.ByteArrayInputStream;
 import java.io.ByteArrayOutputStream;
 import java.io.File;
 import java.util.Collection;
 import java.util.concurrent.Callable;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertTrue;
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/models/word2vec/wordstore/inmemory/AbstractCacheTest.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/models/word2vec/wordstore/inmemory/AbstractCacheTest.java
@ -16,7 +16,6 @@
 package org.deeplearning4j.models.word2vec.wordstore.inmemory;
 import com.google.gson.JsonObject;
 import lombok.extern.slf4j.Slf4j;
 import lombok.val;
 import org.deeplearning4j.BaseDL4JTest;
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/text/documentiterator/FileDocumentIteratorTest.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/text/documentiterator/FileDocumentIteratorTest.java
@ -35,7 +35,6 @@ import java.util.HashSet;
 import java.util.Set;
 import static org.junit.Assert.assertEquals;
 import static org.junit.Assert.assertFalse;
 import static org.junit.Assert.assertTrue;
 /**
--- a/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/wordstore/InMemoryVocabStoreTests.java
+++ b/deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/wordstore/InMemoryVocabStoreTests.java
@ -21,8 +21,6 @@ import org.deeplearning4j.models.word2vec.VocabWord;
 import org.deeplearning4j.models.word2vec.wordstore.VocabCache;
 import org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache;
 import org.junit.Test;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 import static org.junit.Assert.*;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/EarlyStoppingGraphTrainer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/EarlyStoppingGraphTrainer.java
@ -16,7 +16,6 @@
 package org.deeplearning4j.earlystopping.trainer;
 import org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator;
 import org.deeplearning4j.datasets.iterator.impl.SingletonDataSetIterator;
 import org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator;
 import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ConfusionMatrix.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ConfusionMatrix.java
@ -18,13 +18,8 @@ package org.deeplearning4j.eval;
 import org.nd4j.shade.guava.collect.HashMultiset;
 import org.nd4j.shade.guava.collect.Multiset;
 import lombok.Getter;
 import java.io.Serializable;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
 import java.util.concurrent.ConcurrentHashMap;
 /**
 * @deprecated Use {@link org.nd4j.evaluation.classification.ConfusionMatrix}
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/Evaluation.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/Evaluation.java
@ -18,8 +18,6 @@ package org.deeplearning4j.eval;
 import lombok.EqualsAndHashCode;
 import lombok.NonNull;
 import org.nd4j.evaluation.EvaluationAveraging;
 import org.nd4j.evaluation.IEvaluation;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.List;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/PrecisionRecallCurve.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/PrecisionRecallCurve.java
@ -17,13 +17,10 @@
 package org.deeplearning4j.eval.curves;
 import org.nd4j.shade.guava.base.Preconditions;
 import lombok.AllArgsConstructor;
 import lombok.Data;
 import lombok.EqualsAndHashCode;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
 import java.util.Arrays;
 /**
 * @deprecated Use {@link org.nd4j.evaluation.curves.ReliabilityDiagram}
 */
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/meta/Prediction.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/meta/Prediction.java
@ -16,7 +16,6 @@
 package org.deeplearning4j.eval.meta;
 import lombok.AllArgsConstructor;
 import lombok.Data;
 /**
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/MinMaxNormConstraint.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/MinMaxNormConstraint.java
@ -23,8 +23,6 @@ import org.nd4j.linalg.api.ops.CustomOp;
 import org.nd4j.linalg.api.ops.DynamicCustomOp;
 import org.nd4j.linalg.factory.Broadcast;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.indexing.BooleanIndexing;
 import org.nd4j.linalg.indexing.conditions.Conditions;
 import java.util.Collections;
 import java.util.Set;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseOutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseOutputLayer.java
@ -22,10 +22,7 @@ import org.deeplearning4j.nn.conf.memory.LayerMemoryReport;
 import org.deeplearning4j.nn.conf.memory.MemoryReport;
 import org.nd4j.linalg.lossfunctions.ILossFunction;
 import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction;
 import org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT;
 import org.nd4j.linalg.lossfunctions.impl.LossMCXENT;
 import org.nd4j.linalg.lossfunctions.impl.LossMSE;
 import org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood;
@Data
@NoArgsConstructor
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseUpsamplingLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseUpsamplingLayer.java
@ -17,10 +17,8 @@
 package org.deeplearning4j.nn.conf.layers;
 import lombok.*;
 import org.deeplearning4j.nn.api.ParamInitializer;
 import org.deeplearning4j.nn.conf.InputPreProcessor;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.params.EmptyParamInitializer;
 /**
 * Upsampling base layer
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Deconvolution3D.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Deconvolution3D.java
@ -26,10 +26,8 @@ import org.deeplearning4j.nn.conf.ConvolutionMode;
 import org.deeplearning4j.nn.conf.InputPreProcessor;
 import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer;
 import org.deeplearning4j.nn.layers.convolution.Deconvolution3DLayer;
 import org.deeplearning4j.nn.params.Deconvolution3DParamInitializer;
 import org.deeplearning4j.nn.params.DeconvolutionParamInitializer;
 import org.deeplearning4j.optimize.api.TrainingListener;
 import org.deeplearning4j.util.ValidationUtils;
 import org.nd4j.linalg.api.buffer.DataType;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/EmbeddingLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/EmbeddingLayer.java
@ -23,7 +23,6 @@ import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.conf.memory.LayerMemoryReport;
 import org.deeplearning4j.nn.conf.memory.MemoryReport;
 import org.deeplearning4j.nn.params.DefaultParamInitializer;
 import org.deeplearning4j.nn.params.EmbeddingLayerParamInitializer;
 import org.deeplearning4j.nn.weights.IWeightInit;
 import org.deeplearning4j.nn.weights.embeddings.ArrayEmbeddingInitializer;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/FeedForwardLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/FeedForwardLayer.java
@ -23,7 +23,6 @@ import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor;
 import org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor;
 import org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor;
 import org.deeplearning4j.nn.params.DefaultParamInitializer;
 /**
 * Created by jeffreytang on 7/21/15.
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/Bidirectional.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/Bidirectional.java
@ -43,7 +43,6 @@ import java.util.List;
 import java.util.Map;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 import static org.nd4j.linalg.indexing.NDArrayIndex.point;
 /**
 * Bidirectional is a "wrapper" layer: it wraps any uni-directional RNN layer to make it bidirectional.<br> Note that
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/LayerMemoryReport.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/LayerMemoryReport.java
@ -22,7 +22,6 @@ import lombok.NoArgsConstructor;
 import lombok.NonNull;
 import org.deeplearning4j.nn.conf.CacheMode;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.buffer.DataType;
 import java.util.HashMap;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryReport.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryReport.java
@ -20,7 +20,6 @@ import lombok.EqualsAndHashCode;
 import lombok.NonNull;
 import org.deeplearning4j.nn.conf.CacheMode;
 import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.buffer.util.DataTypeUtil;
 import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/NetworkMemoryReport.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/NetworkMemoryReport.java
@ -21,7 +21,6 @@ import lombok.Getter;
 import lombok.NonNull;
 import org.deeplearning4j.nn.conf.CacheMode;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.nd4j.linalg.api.buffer.DataBuffer;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.shade.jackson.annotation.JsonProperty;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/BaseNetConfigDeserializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/BaseNetConfigDeserializer.java
@ -26,7 +26,6 @@ import org.deeplearning4j.nn.conf.layers.Layer;
 import org.deeplearning4j.nn.weights.*;
 import org.nd4j.linalg.activations.Activation;
 import org.nd4j.linalg.activations.IActivation;
 import org.nd4j.linalg.activations.impl.*;
 import org.nd4j.linalg.learning.config.*;
 import org.nd4j.linalg.learning.regularization.L1Regularization;
 import org.nd4j.linalg.learning.regularization.Regularization;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/FrozenVertex.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/FrozenVertex.java
@ -16,16 +16,11 @@
 package org.deeplearning4j.nn.graph.vertex.impl;
 import lombok.AllArgsConstructor;
 import lombok.EqualsAndHashCode;
 import org.deeplearning4j.nn.api.TrainingConfig;
 import org.deeplearning4j.nn.conf.GradientNormalization;
 import org.deeplearning4j.nn.conf.misc.DummyConfig;
 import org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex;
 import org.deeplearning4j.nn.graph.vertex.GraphVertex;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.learning.config.IUpdater;
 import org.nd4j.linalg.learning.config.NoOp;
 /**
 * FrozenVertex is used for the purposes of transfer learning
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/LossLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/LossLayer.java
@ -28,7 +28,6 @@ import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.dataset.api.DataSet;
 import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.lossfunctions.ILossFunction;
 import org.nd4j.common.primitives.Pair;
 import org.nd4j.linalg.util.FeatureUtil;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/OutputLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/OutputLayer.java
@ -21,7 +21,6 @@ import org.deeplearning4j.nn.workspace.ArrayType;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 /**
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Convolution1DLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Convolution1DLayer.java
@ -21,7 +21,6 @@ import org.deeplearning4j.nn.api.MaskState;
 import org.deeplearning4j.nn.conf.ConvolutionMode;
 import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.conf.RNNFormat;
 import org.deeplearning4j.nn.conf.layers.Convolution1D;
 import org.deeplearning4j.nn.gradient.DefaultGradient;
 import org.deeplearning4j.nn.gradient.Gradient;
 import org.deeplearning4j.nn.params.ConvolutionParamInitializer;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/BaseRecurrentLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/BaseRecurrentLayer.java
@ -19,9 +19,7 @@ package org.deeplearning4j.nn.layers.recurrent;
 import org.deeplearning4j.nn.api.layers.RecurrentLayer;
 import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.conf.RNNFormat;
 import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.layers.BaseLayer;
 import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/util/IdentityLayer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/util/IdentityLayer.java
@ -21,9 +21,6 @@ import org.deeplearning4j.nn.conf.inputs.InputType;
 import org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer;
 import org.nd4j.autodiff.samediff.SDVariable;
 import org.nd4j.autodiff.samediff.SameDiff;
 import org.nd4j.linalg.learning.regularization.Regularization;
 import java.util.List;
 /**
 * Identity layer, passes data through unaltered. This is a pure utility layer needed to support
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/BidirectionalParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/BidirectionalParamInitializer.java
@ -19,9 +19,6 @@ package org.deeplearning4j.nn.params;
 import lombok.val;
 import org.deeplearning4j.nn.api.ParamInitializer;
 import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.conf.layers.BaseLayer;
 import org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer;
 import org.deeplearning4j.nn.conf.layers.FeedForwardLayer;
 import org.deeplearning4j.nn.conf.layers.Layer;
 import org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional;
 import org.nd4j.linalg.api.ndarray.INDArray;
@ -32,7 +29,6 @@ import java.util.List;
 import java.util.Map;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 import static org.nd4j.linalg.indexing.NDArrayIndex.point;
 /**
 * Parameter initializer for bidirectional wrapper layer
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SimpleRnnParamInitializer.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SimpleRnnParamInitializer.java
@ -27,7 +27,6 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import java.util.*;
 import static org.nd4j.linalg.indexing.NDArrayIndex.interval;
 import static org.nd4j.linalg.indexing.NDArrayIndex.point;
 public class SimpleRnnParamInitializer implements ParamInitializer {
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterBlock.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterBlock.java
@ -18,18 +18,11 @@ package org.deeplearning4j.nn.updater;
 import lombok.AllArgsConstructor;
 import lombok.Data;
 import lombok.val;
 import org.deeplearning4j.nn.api.Layer;
 import org.deeplearning4j.nn.api.Trainable;
 import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
 import org.deeplearning4j.nn.conf.layers.BaseLayer;
 import org.deeplearning4j.nn.layers.FrozenLayer;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.indexing.NDArrayIndex;
 import org.nd4j.linalg.learning.GradientUpdater;
 import org.nd4j.linalg.learning.regularization.Regularization;
 import org.nd4j.linalg.ops.transforms.Transforms;
 import java.util.ArrayList;
 import java.util.List;
--- a/Show More
+++ b/Show More