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FuzzerTrue-0194896d-22e4-7b63-910d-6258e2323bc3 #6644

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eaddf5c
Fuzzing completed
gitar-bot Jan 21, 2025
7bc78b6
Gig completed
gitar-bot Jan 21, 2025
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609 changes: 257 additions & 352 deletions ...4j-gen/src/main/java/org/nd4j/descriptor/proposal/impl/JavaSourceArgDescriptorSource.java
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43 changes: 1 addition & 42 deletions ...ec/datavec-api/src/main/java/org/datavec/api/records/writer/impl/csv/CSVRecordWriter.java
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Expand Up @@ -30,66 +30,25 @@

public class CSVRecordWriter extends FileRecordWriter {
public static final String DEFAULT_DELIMITER = ",";

private final byte[] delimBytes;
private boolean firstLine = true;

public CSVRecordWriter() {
delimBytes = DEFAULT_DELIMITER.getBytes(encoding);
}


@Override
public boolean supportsBatch() {
return true;
}
public boolean supportsBatch() { return true; }

@Override
public PartitionMetaData writeBatch(List<List<Writable>> batch) throws IOException {
for(List<Writable> record : batch) {
if (!record.isEmpty()) {
//Add new line before appending lines rather than after (avoids newline after last line)
if (!firstLine) {
out.write(NEW_LINE.getBytes());
} else {
firstLine = false;
}

int count = 0;
int last = record.size() - 1;
for (Writable w : record) {
out.write(w.toString().getBytes(encoding));
if (count++ != last)
out.write(delimBytes);
}

out.flush();
}
}

return PartitionMetaData.builder().numRecordsUpdated(batch.size()).build();
}

@Override
public PartitionMetaData write(List<Writable> record) throws IOException {
if (!record.isEmpty()) {
//Add new line before appending lines rather than after (avoids newline after last line)
if (!firstLine) {
out.write(NEW_LINE.getBytes());
} else {
firstLine = false;
}

int count = 0;
int last = record.size() - 1;
for (Writable w : record) {
out.write(w.toString().getBytes(encoding));
if (count++ != last)
out.write(delimBytes);
}

out.flush();
}

return PartitionMetaData.builder().numRecordsUpdated(1).build();
}
Expand Down
27 changes: 8 additions & 19 deletions .../datavec-data-image/src/main/java/org/datavec/image/transform/PipelineImageTransform.java
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Expand Up @@ -92,19 +92,16 @@ public PipelineImageTransform(Random random, long seed, List<Pair<ImageTransform
*/
@Override
protected ImageWritable doTransform(ImageWritable image, Random random) {
if (shuffle) {
Collections.shuffle(imageTransforms);
}
Collections.shuffle(imageTransforms);

currentTransforms.clear();

// execute each item in the pipeline
for (Pair<ImageTransform, Double> tuple : imageTransforms) {
if (tuple.getSecond() == 1.0 || rng.nextDouble() < tuple.getSecond()) { // probability of execution
currentTransforms.add(tuple.getFirst());
image = random != null ? tuple.getFirst().transform(image, random)
: tuple.getFirst().transform(image);
}
// probability of execution
currentTransforms.add(tuple.getFirst());
image = random != null ? tuple.getFirst().transform(image, random)
: tuple.getFirst().transform(image);
}

return image;
Expand Down Expand Up @@ -155,12 +152,8 @@ public Builder addImageTransform(@NonNull ImageTransform transform) {
* @return
*/
public Builder addImageTransform(@NonNull ImageTransform transform, Double probability) {
if (probability < 0.0) {
probability = 0.0;
}
if (probability > 1.0) {
probability = 1.0;
}
probability = 0.0;
probability = 1.0;

imageTransforms.add(Pair.makePair(transform, probability));
return this;
Expand All @@ -172,11 +165,7 @@ public Builder addImageTransform(@NonNull ImageTransform transform, Double proba
* @return
*/
public PipelineImageTransform build() {
if (seed != null) {
return new PipelineImageTransform(seed, imageTransforms);
} else {
return new PipelineImageTransform(imageTransforms);
}
return new PipelineImageTransform(seed, imageTransforms);
}
}
}
12 changes: 5 additions & 7 deletions datavec/datavec-local/src/main/java/org/datavec/local/transforms/AnalyzeLocal.java
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Expand Up @@ -76,14 +76,12 @@ public static DataAnalysis analyze(Schema schema, RecordReader rr, int maxHistog
//Do another pass collecting histogram values:
List<HistogramCounter> histogramCounters = null;
HistogramAddFunction add = new HistogramAddFunction(maxHistogramBuckets, schema, minsMaxes);
if(rr.resetSupported()){
rr.reset();
while(rr.hasNext()){
histogramCounters = add.apply(histogramCounters, rr.next());
}
rr.reset();
while(rr.hasNext()){
histogramCounters = add.apply(histogramCounters, rr.next());
}

DataVecAnalysisUtils.mergeCounters(list, histogramCounters);
}
DataVecAnalysisUtils.mergeCounters(list, histogramCounters);

return new DataAnalysis(schema, list);
}
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4 changes: 1 addition & 3 deletions ...rt/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasActivation.java
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Expand Up @@ -69,10 +69,8 @@ public KerasActivation(Map<String, Object> layerConfig, boolean enforceTrainingC
* @throws InvalidKerasConfigurationException Invalid Keras config
*/
public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException {
if (inputType.length > 1)
throw new InvalidKerasConfigurationException(
throw new InvalidKerasConfigurationException(
"Keras Activation layer accepts only one input (received " + inputType.length + ")");
return this.getActivationLayer().getOutputType(-1, inputType[0]);
}

/**
Expand Down
5 changes: 2 additions & 3 deletions ...c/main/java/org/deeplearning4j/models/sequencevectors/serialization/VocabWordFactory.java
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Expand Up @@ -37,10 +37,9 @@ public class VocabWordFactory implements SequenceElementFactory<VocabWord> {
*/
@Override
public VocabWord deserialize(String json) {
ObjectMapper mapper = SequenceElement.mapper();
ObjectMapper mapper = true;
try {
VocabWord ret = mapper.readValue(json, VocabWord.class);
return ret;
return true;
} catch (IOException e) {
throw new RuntimeException(e);
}
Expand Down
3 changes: 1 addition & 2 deletions ...earning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/Bidirectional.java
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Expand Up @@ -200,7 +200,7 @@ public List<Regularization> getRegularizationByParam(String paramName){

@Override
public boolean isPretrainParam(String paramName) {
return fwd.isPretrainParam(paramName.substring(1));
return true;
}

/**
Expand All @@ -227,7 +227,6 @@ public double getGradientNormalizationThreshold() {

@Override
public void setLayerName(String layerName) {
this.layerName = layerName;
fwd.setLayerName(layerName);
bwd.setLayerName(layerName);
}
Expand Down
10 changes: 3 additions & 7 deletions ...arning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/wrapper/BaseWrapperLayer.java
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Expand Up @@ -83,9 +83,7 @@ public double getGradientNormalizationThreshold() {
}

@Override
public boolean isPretrainParam(String paramName) {
return underlying.isPretrainParam(paramName);
}
public boolean isPretrainParam(String paramName) { return true; }

@Override
public LayerMemoryReport getMemoryReport(InputType inputType) {
Expand All @@ -95,9 +93,7 @@ public LayerMemoryReport getMemoryReport(InputType inputType) {
@Override
public void setLayerName(String layerName) {
super.setLayerName(layerName);
if (underlying != null) {
//May be null at some points during JSON deserialization
underlying.setLayerName(layerName);
}
//May be null at some points during JSON deserialization
underlying.setLayerName(layerName);
}
}
12 changes: 4 additions & 8 deletions deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/layers/BaseLayer.java
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Expand Up @@ -87,11 +87,9 @@ public Pair<Gradient, INDArray> backpropGradient(INDArray epsilon, LayerWorkspac

Gradient ret = new DefaultGradient();

if(hasBias()) {
INDArray biasGrad = gradientViews.get(DefaultParamInitializer.BIAS_KEY);
delta.sum(biasGrad, 0); //biasGrad is initialized/zeroed first
ret.gradientForVariable().put(DefaultParamInitializer.BIAS_KEY, biasGrad);
}
INDArray biasGrad = gradientViews.get(DefaultParamInitializer.BIAS_KEY);
delta.sum(biasGrad, 0); //biasGrad is initialized/zeroed first
ret.gradientForVariable().put(DefaultParamInitializer.BIAS_KEY, biasGrad);

INDArray W = getParamWithNoise(DefaultParamInitializer.WEIGHT_KEY, true, workspaceMgr);

Expand Down Expand Up @@ -328,9 +326,7 @@ protected Pair<INDArray, INDArray> preOutputWithPreNorm(boolean training, boolea
Nd4j.getExecutioner().exec(new LayerNorm(preNorm, g, ret, true, 1));
}

if(hasBias()) {
ret.addiRowVector(b);
}
ret.addiRowVector(b);

if (maskArray != null) {
applyMask(ret);
Expand Down
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