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Removed unused imports (#9077) 

Signed-off-by: Dariusz Zbyrad <dariusz.zbyrad@gmail.com>
master
dariuszzbyrad 2020-09-01 10:55:48 +02:00 committed by GitHub
parent 4f9b6fcf1e
commit 1de8837c39
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163 changed files with 0 additions and 326 deletions
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3
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/RandomTests.java
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@ -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

2
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/fetchers/SvhnDataFetcherTest.java
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@ -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;

2
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/DataSetSplitterTests.java
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@ -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;

2
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/JointParallelDataSetIteratorTest.java
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@ -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;

2
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/MultiDataSetSplitterTests.java
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@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/datasets/iterator/tools/DataSetGenerator.java
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@ -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;

3
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/eval/ROCTest.java
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@ -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.*;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/exceptions/TestRecordReaders.java
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@ -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;

3
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/BNGradientCheckTest.java
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@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN1DGradientCheckTest.java
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@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNN3DGradientCheckTest.java
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@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CNNGradientCheckTest.java
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@ -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;

2
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/CapsnetGradientCheckTest.java
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@ -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

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTests.java
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@ -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.*;
/**

4
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/gradientcheck/GradientCheckTestsComputationGraph.java
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@ -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;

9
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/MultiNeuralNetConfLayerBuilderTest.java
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@ -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;
/**

2
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/graph/ElementWiseVertexTest.java
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@ -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.
*/

3
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/conf/preprocessor/CustomPreprocessorTest.java
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@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/dtypes/DTypeTests.java
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@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/graph/TestCompGraphUnsupervised.java
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@ -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;

6
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/FrozenLayerWithBackpropTest.java
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@ -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.

6
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/TestDropout.java
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@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/Convolution3DTest.java
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@ -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;
/**

4
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/convolution/LocallyConnectedLayerTest.java
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@ -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;

4
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomActivation.java
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@ -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.

5
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/custom/TestCustomLayers.java
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@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/feedforward/embedding/EmbeddingLayerTest.java
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@ -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;

4
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/ocnn/OCNNOutputLayerTest.java
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@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/recurrent/TestSimpleRnn.java
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@ -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)

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/TestSameDiffConv.java
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@ -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 {

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/layers/samediff/testlayers/SameDiffSimpleLambdaVertex.java
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@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/LargeNetTest.java
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@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/misc/TestLrChanges.java
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@ -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;

2
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/BackPropMLPTest.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/nn/multilayer/TestVariableLengthTS.java
View File

@ -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;

3
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/optimize/solver/accumulation/EncodedGradientsAccumulatorTest.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/perf/listener/SystemPollingTest.java
View File

@ -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")

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/plot/BarnesHutTsneTest.java
View File

@ -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;

2
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest050.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/samediff/CompareTrainingImplementations.java
View File

@ -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 {

2
deeplearning4j/deeplearning4j-data/deeplearning4j-datasets/src/main/java/org/deeplearning4j/datasets/fetchers/UciSequenceDataFetcher.java
View File

@ -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;

3
deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/DummyBlockMultiDataSetIterator.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/IteratorMultiDataSetIterator.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/MultiDataSetIteratorSplitter.java
View File

@ -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;

5
deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/SamplingDataSetIterator.java
View File

@ -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}

1
deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableDataSetIterator.java
View File

@ -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;

4
deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/ScrollableMultiDataSetIterator.java
View File

@ -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;

3
deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DataSetCallback.java
View File

@ -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}
*/

5
deeplearning4j/deeplearning4j-data/deeplearning4j-utility-iterators/src/main/java/org/deeplearning4j/datasets/iterator/callbacks/DefaultCallback.java
View File

@ -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}
*/

2
deeplearning4j/deeplearning4j-dataimport-solrj/src/main/java/org/deeplearning4j/nn/dataimport/solr/client/solrj/io/stream/TupleStreamDataSetIterator.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-manifold/deeplearning4j-tsne/src/main/java/org/deeplearning4j/plot/BarnesHutTsne.java
View File

@ -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;
/**

1
deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/KerasInput.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/TFOpLayerImpl.java
View File

@ -36,7 +36,6 @@ import org.nd4j.shade.protobuf.Message;
import org.nd4j.shade.protobuf.TextFormat;
import java.util.*;
import java.util.List;
@Slf4j

1
deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasELU.java
View File

@ -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;

2
deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasReLU.java
View File

@ -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;

2
deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution1D.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution2D.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectional.java
View File

@ -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;

4
deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/sptree/SpTree.java
View File

@ -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;
/**

2
deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/main/java/org/deeplearning4j/clustering/vptree/VPTree.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/kmeans/KMeansTest.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-nearestneighbors-parent/nearestneighbor-core/src/test/java/org/deeplearning4j/clustering/lsh/RandomProjectionLSHTest.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp-japanese/src/main/java/com/atilika/kuromoji/trie/DoubleArrayTrie.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/BatchSequences.java
View File

@ -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> {

2
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/CBOW.java
View File

@ -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;

3
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/embeddings/learning/impl/elements/SkipGram.java
View File

@ -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
*

1
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/SentenceTransformer.java
View File

@ -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;

3
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/models/sequencevectors/transformers/impl/iterables/ParallelTransformerIterator.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceStreamTokenizer.java
View File

@ -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

1
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceTokenizer.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/models/sequencevectors/serialization/ExtVocabWord.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/models/word2vec/Word2VecTestsSmall.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/models/word2vec/wordstore/inmemory/AbstractCacheTest.java
View File

@ -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;

1
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/text/documentiterator/FileDocumentIteratorTest.java
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@ -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;
/**

2
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/wordstore/InMemoryVocabStoreTests.java
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@ -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.*;

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/earlystopping/trainer/EarlyStoppingGraphTrainer.java
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@ -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;

5
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/ConfusionMatrix.java
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@ -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}

2
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/Evaluation.java
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@ -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;

3
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/curves/PrecisionRecallCurve.java
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@ -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}
*/

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/eval/meta/Prediction.java
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@ -16,7 +16,6 @@
package org.deeplearning4j.eval.meta;
import lombok.AllArgsConstructor;
import lombok.Data;
/**

2
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/constraint/MinMaxNormConstraint.java
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@ -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;

3
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseOutputLayer.java
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@ -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

2
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/BaseUpsamplingLayer.java
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@ -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

2
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/Deconvolution3D.java
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@ -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;

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/EmbeddingLayer.java
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@ -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;

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/FeedForwardLayer.java
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@ -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.

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/Bidirectional.java
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@ -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

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/LayerMemoryReport.java
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@ -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;

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/MemoryReport.java
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@ -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;

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/memory/NetworkMemoryReport.java
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@ -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;

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/serde/BaseNetConfigDeserializer.java
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@ -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;

5
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/vertex/impl/FrozenVertex.java
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@ -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

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/LossLayer.java
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@ -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;

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/OutputLayer.java
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@ -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;
/**

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/convolution/Convolution1DLayer.java
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@ -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;

2
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/recurrent/BaseRecurrentLayer.java
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@ -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;

3
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/util/IdentityLayer.java
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@ -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

4
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/BidirectionalParamInitializer.java
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@ -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

1
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SimpleRnnParamInitializer.java
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@ -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 {

7
deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterBlock.java
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@ -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;

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