[ci] Updates google code formatter to 1.22.0

api/src/main/java/ai/djl/nn/convolutional/Convolution.java

@@ -285,6 +285,7 @@ static NDList convolution(
         return input.getNDArrayInternal()
                 .convolution(input, weight, bias, stride, padding, dilation, groups);
     }
+
     /**
      * A builder that can build any {@code Convolution} block.
      *

api/src/main/java/ai/djl/nn/convolutional/Deconvolution.java

@@ -197,6 +197,7 @@ static NDList deconvolution(
         return input.getNDArrayInternal()
                 .deconvolution(input, weight, bias, stride, padding, outPadding, dilation, groups);
     }
+
     /**
      * A builder that can build any {@code Deconvolution} block.
      *
@@ -246,6 +247,7 @@ public T optPadding(Shape padding) {
             this.padding = padding;
             return self();
         }
+
         /**
          * Sets the out_padding along each dimension. Defaults to 0 along each dimension.
          *
@@ -256,6 +258,7 @@ public T optOutPadding(Shape outPadding) {
             this.outPadding = outPadding;
             return self();
         }
+
         /**
          * Sets the dilation along each dimension. Defaults to 1 along each dimension.
          *

api/src/main/java/ai/djl/nn/transformer/BertBlock.java

@@ -283,6 +283,7 @@ public static final class Builder {
         float hiddenDropoutProbability = 0.1f;
         // float attentionDropoutProbability = 0.1f;
         int maxSequenceLength = 512;
+
         // float initializerRange = 0.02f;
 
         private Builder() {}

api/src/main/java/ai/djl/nn/transformer/ScaledDotProductAttentionBlock.java

@@ -72,16 +72,22 @@ public final class ScaledDotProductAttentionBlock extends AbstractBlock {
 
     /** Size of the Word-/Token-embeddings we use the attention on. */
     private int embeddingSize;
+
     /** Number of attention heads. */
     private int headCount;
+
     /** Pointwise Linear projection of the keys. */
     private Linear keyProjection;
+
     /** Pointwise Linear projection of the queries. */
     private Linear queryProjection;
+
     /** Pointwise Linear projection of the values. */
     private Linear valueProjection;
+
     /** Pointwise Linear projection of the results. */
     private Linear resultProjection;
+
     /** Dropout operation to be applied after probability calculation. */
     private Dropout attentionProbsDropout;
 
@@ -119,6 +125,7 @@ private Linear buildProjection() {
     public Linear getKeyProjection() {
         return keyProjection;
     }
+
     /**
      * Pointwise Linear projection of the queries.
      *
@@ -127,6 +134,7 @@ public Linear getKeyProjection() {
     public Linear getQueryProjection() {
         return queryProjection;
     }
+
     /**
      * Pointwise Linear projection of the values.
      *
@@ -135,6 +143,7 @@ public Linear getQueryProjection() {
     public Linear getValueProjection() {
         return valueProjection;
     }
+
     /**
      * Pointwise Linear projection of the results.
      *

api/src/main/java/ai/djl/nn/transformer/TransformerEncoderBlock.java

@@ -31,14 +31,19 @@ public class TransformerEncoderBlock extends AbstractBlock {
 
     /** The attention mechanism. */
     private ScaledDotProductAttentionBlock selfAttentionBlock;
+
     /** Dropout before residual & layer normalization. */
     private Dropout selfAttentionDropout;
+
     /** Normalization of attention output and residual. */
     private BatchNorm attentionNorm;
+
     /** Fully connected pointwise block for output projection. */
     private PointwiseFeedForwardBlock pointWisefullyConnected;
+
     /** Dropout after fully connected and before last residual & layer normalization. */
     private Dropout fullyConnectedDropout;
+
     /** Another normalization for the output and residual. */
     private BatchNorm outputNorm;
 

api/src/main/java/ai/djl/training/ParameterServer.java

@@ -39,6 +39,7 @@ default void update(String parameterId, NDArray[] params) {
         update(parameterId, grads, params);
         Arrays.stream(grads).forEach(NDArray::close);
     }
+
     /**
      * Updates the parameter of a key from Parameter Server.
      *

api/src/main/java/ai/djl/training/listener/EpochTrainingListener.java

@@ -35,6 +35,7 @@ public void onEpoch(Trainer trainer) {
         epochTime = System.nanoTime();
         numEpochs++;
     }
+
     /** {@inheritDoc} */
     @Override
     public void onTrainingBegin(Trainer trainer) {

engines/mxnet/mxnet-engine/src/main/java/ai/djl/mxnet/engine/MxOpParams.java

@@ -23,6 +23,7 @@ public class MxOpParams extends PairList<String, Object> {
 
     // mxnet cpu take index
     private static final String MXNET_CPU = "cpu(0)";
+
     /**
      * Sets the Shape parameter.
      *

engines/mxnet/mxnet-engine/src/main/java/ai/djl/mxnet/jna/JnaUtils.java

@@ -908,6 +908,7 @@ public static Pointer detachGradient(Pointer handle) {
         REFS.recycle(ref);
         return pointer;
     }
+
     /*
     int MXNDArraySetGradState(Pointer handle, int state);
 

engines/pytorch/pytorch-engine/src/main/java/ai/djl/pytorch/engine/PtNDArrayEx.java

@@ -437,6 +437,7 @@ public NDList layerNorm(
                         manager.from(beta),
                         eps));
     }
+
     /** {@inheritDoc} */
     @Override
     public NDList batchNorm(

engines/pytorch/pytorch-engine/src/test/java/ai/djl/pytorch/integration/ProfilerTest.java

@@ -43,7 +43,9 @@ public class ProfilerTest {
 
     @Test
     public void testProfiler()
-            throws MalformedModelException, ModelNotFoundException, IOException,
+            throws MalformedModelException,
+                    ModelNotFoundException,
+                    IOException,
                     TranslateException {
         try (NDManager manager = NDManager.newBaseManager()) {
             ImageClassificationTranslator translator =

engines/tensorflow/tensorflow-engine/src/main/java/ai/djl/tensorflow/engine/TfNDArrayEx.java

@@ -398,6 +398,7 @@ public NDList layerNorm(
             NDArray input, Shape normalizedShape, NDArray gamma, NDArray beta, float eps) {
         throw new UnsupportedOperationException();
     }
+
     /** {@inheritDoc} */
     @Override
     public NDList batchNorm(

examples/src/main/java/ai/djl/examples/inference/BertClassification.java

@@ -65,7 +65,9 @@ public static void main(String[] args) throws IOException, ModelException, Trans
     }
 
     public static Classifications[] predict(List<String> inputs)
-            throws MalformedModelException, ModelNotFoundException, IOException,
+            throws MalformedModelException,
+                    ModelNotFoundException,
+                    IOException,
                     TranslateException {
         // refer to
         // https://medium.com/delvify/bert-rest-inference-from-the-fine-tuned-model-499997b32851 and

examples/src/main/java/ai/djl/examples/inference/SentimentAnalysis.java

@@ -49,7 +49,9 @@ public static void main(String[] args) throws IOException, TranslateException, M
     }
 
     public static Classifications predict()
-            throws MalformedModelException, ModelNotFoundException, IOException,
+            throws MalformedModelException,
+                    ModelNotFoundException,
+                    IOException,
                     TranslateException {
         String input = "I like DJL. DJL is the best DL framework!";
         logger.info("input Sentence: {}", input);

examples/src/main/java/ai/djl/examples/inference/UniversalSentenceEncoder.java

@@ -61,7 +61,9 @@ public static void main(String[] args) throws IOException, ModelException, Trans
     }
 
     public static float[][] predict(List<String> inputs)
-            throws MalformedModelException, ModelNotFoundException, IOException,
+            throws MalformedModelException,
+                    ModelNotFoundException,
+                    IOException,
                     TranslateException {
         String modelUrl =
                 "https://storage.googleapis.com/tfhub-modules/google/universal-sentence-encoder/4.tar.gz";

examples/src/main/java/ai/djl/examples/inference/cv/PoseEstimation.java

@@ -70,7 +70,9 @@ public static List<Joints> predict() throws IOException, ModelException, Transla
     }
 
     private static List<Image> predictPeopleInImage(Image img)
-            throws MalformedModelException, ModelNotFoundException, IOException,
+            throws MalformedModelException,
+                    ModelNotFoundException,
+                    IOException,
                     TranslateException {
 
         Criteria<Image, DetectedObjects> criteria =
@@ -106,7 +108,9 @@ private static List<Image> predictPeopleInImage(Image img)
     }
 
     private static List<Joints> predictJointsForPeople(List<Image> people)
-            throws MalformedModelException, ModelNotFoundException, IOException,
+            throws MalformedModelException,
+                    ModelNotFoundException,
+                    IOException,
                     TranslateException {
 
         // Use DJL MXNet model zoo model, model can be found:

examples/src/main/java/ai/djl/examples/inference/cv/StyleTransfer.java

@@ -68,7 +68,9 @@ public static void main(String[] args) throws IOException, ModelException, Trans
     }
 
     public static Image transfer(Image image, Artist artist)
-            throws IOException, ModelNotFoundException, MalformedModelException,
+            throws IOException,
+                    ModelNotFoundException,
+                    MalformedModelException,
                     TranslateException {
         // Use DJL PyTorch model zoo model, model can be found:
         // https://mlrepo.djl.ai/model/cv/image_generation/ai/djl/pytorch/cyclegan/0.0.1/style_xxxx.zip

examples/src/main/java/ai/djl/examples/inference/nlp/RollingBatch.java

@@ -40,14 +40,18 @@ public final class RollingBatch {
     private RollingBatch() {}
 
     public static void main(String[] args)
-            throws ModelNotFoundException, MalformedModelException, IOException,
+            throws ModelNotFoundException,
+                    MalformedModelException,
+                    IOException,
                     TranslateException {
         String[] ret = seqBatchSchedulerWithPyTorchContrastive();
         logger.info("{}", ret[0]);
     }
 
     public static String[] seqBatchSchedulerWithPyTorchContrastive()
-            throws ModelNotFoundException, MalformedModelException, IOException,
+            throws ModelNotFoundException,
+                    MalformedModelException,
+                    IOException,
                     TranslateException {
         String url = "https://djl-misc.s3.amazonaws.com/test/models/gpt2/gpt2_pt.zip";
 

examples/src/main/java/ai/djl/examples/inference/nlp/TextGeneration.java

@@ -42,7 +42,9 @@ public final class TextGeneration {
     private TextGeneration() {}
 
     public static void main(String[] args)
-            throws ModelNotFoundException, MalformedModelException, IOException,
+            throws ModelNotFoundException,
+                    MalformedModelException,
+                    IOException,
                     TranslateException {
         String ret1 = generateTextWithPyTorchGreedy();
         logger.info("{}", ret1);
@@ -53,7 +55,9 @@ public static void main(String[] args)
     }
 
     public static String generateTextWithPyTorchGreedy()
-            throws ModelNotFoundException, MalformedModelException, IOException,
+            throws ModelNotFoundException,
+                    MalformedModelException,
+                    IOException,
                     TranslateException {
         SearchConfig config = new SearchConfig();
         config.setMaxSeqLength(60);
@@ -88,7 +92,9 @@ public static String generateTextWithPyTorchGreedy()
     }
 
     public static String[] generateTextWithPyTorchContrastive()
-            throws ModelNotFoundException, MalformedModelException, IOException,
+            throws ModelNotFoundException,
+                    MalformedModelException,
+                    IOException,
                     TranslateException {
         SearchConfig config = new SearchConfig();
         config.setMaxSeqLength(60);
@@ -120,7 +126,9 @@ public static String[] generateTextWithPyTorchContrastive()
     }
 
     public static String[] generateTextWithPyTorchBeam()
-            throws ModelNotFoundException, MalformedModelException, IOException,
+            throws ModelNotFoundException,
+                    MalformedModelException,
+                    IOException,
                     TranslateException {
         SearchConfig config = new SearchConfig();
         config.setMaxSeqLength(60);
@@ -153,7 +161,9 @@ public static String[] generateTextWithPyTorchBeam()
     }
 
     public static String[] generateTextWithOnnxRuntimeBeam()
-            throws ModelNotFoundException, MalformedModelException, IOException,
+            throws ModelNotFoundException,
+                    MalformedModelException,
+                    IOException,
                     TranslateException {
         SearchConfig config = new SearchConfig();
         config.setMaxSeqLength(60);

examples/src/main/java/ai/djl/examples/training/TrainSentimentAnalysis.java

@@ -76,13 +76,17 @@ public final class TrainSentimentAnalysis {
     private TrainSentimentAnalysis() {}
 
     public static void main(String[] args)
-            throws IOException, ModelNotFoundException, MalformedModelException,
+            throws IOException,
+                    ModelNotFoundException,
+                    MalformedModelException,
                     TranslateException {
         TrainSentimentAnalysis.runExample(args);
     }
 
     public static TrainingResult runExample(String[] args)
-            throws IOException, ModelNotFoundException, MalformedModelException,
+            throws IOException,
+                    ModelNotFoundException,
+                    MalformedModelException,
                     TranslateException {
         Arguments arguments = new Arguments().parseArgs(args);
         if (arguments == null) {

examples/src/main/java/ai/djl/examples/training/TrainWithOptimizers.java

@@ -63,13 +63,19 @@ public final class TrainWithOptimizers {
     private TrainWithOptimizers() {}
 
     public static void main(String[] args)
-            throws IOException, ParseException, ModelNotFoundException, MalformedModelException,
+            throws IOException,
+                    ParseException,
+                    ModelNotFoundException,
+                    MalformedModelException,
                     TranslateException {
         TrainWithOptimizers.runExample(args);
     }
 
     public static TrainingResult runExample(String[] args)
-            throws IOException, ParseException, ModelNotFoundException, MalformedModelException,
+            throws IOException,
+                    ParseException,
+                    ModelNotFoundException,
+                    MalformedModelException,
                     TranslateException {
         OptimizerArguments arguments =
                 (OptimizerArguments) new OptimizerArguments().parseArgs(args);

examples/src/test/java/ai/djl/examples/inference/StyleTransferTest.java

@@ -30,7 +30,9 @@ public class StyleTransferTest {
 
     @Test
     public void testStyleTransfer()
-            throws IOException, ModelNotFoundException, MalformedModelException,
+            throws IOException,
+                    ModelNotFoundException,
+                    MalformedModelException,
                     TranslateException {
         TestRequirements.engine("PyTorch");
 

extensions/fasttext/src/test/java/ai/djl/fasttext/CookingStackExchangeTest.java

@@ -81,7 +81,9 @@ public void testTrainTextClassification() throws IOException {
 
     @Test
     public void testTextClassification()
-            throws IOException, MalformedModelException, ModelNotFoundException,
+            throws IOException,
+                    MalformedModelException,
+                    ModelNotFoundException,
                     TranslateException {
         Criteria<String, Classifications> criteria =
                 Criteria.builder()

extensions/tokenizers/src/main/java/ai/djl/engine/rust/RsNDArray.java

@@ -62,6 +62,7 @@ public RsNDArray(RsNDManager manager, long handle) {
     RsNDArray(RsNDManager manager, long handle, DataType dataType) {
         this(manager, handle, dataType, null);
     }
+
     /**
      * Constructs a Rust {@code NDArray} from a native handle (internal. Use {@link NDManager}
      * instead) with the data that is hold on Java side.

extensions/tokenizers/src/main/java/ai/djl/engine/rust/RsNDArrayEx.java

@@ -402,6 +402,7 @@ public NDList layerNorm(
             NDArray input, Shape normalizedShape, NDArray gamma, NDArray beta, float eps) {
         throw new UnsupportedOperationException("Not implemented");
     }
+
     /** {@inheritDoc} */
     @Override
     public NDList batchNorm(

integration/src/main/java/ai/djl/integration/tests/model_zoo/classification/ResnetTest.java

@@ -138,7 +138,9 @@ public void testWithIntermediate() throws TranslateException {
 
     @Test
     public void testLoadPredict()
-            throws IOException, ModelNotFoundException, TranslateException,
+            throws IOException,
+                    ModelNotFoundException,
+                    TranslateException,
                     MalformedModelException {
         try (ZooModel<Image, Classifications> model = getModel()) {
             NoopTranslator translator = new NoopTranslator(Batchifier.STACK);