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CAMEL-17537: camel-djl - Upgrade to 0.16.0 #7514

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merged 1 commit into from Apr 28, 2022
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CAMEL-17537: camel-djl - Upgrade to 0.16.0 #7514

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2 changes: 1 addition & 1 deletion camel-dependencies/pom.xml
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Expand Up @@ -176,7 +176,7 @@
<djl-mxnet-native-version>1.8.0</djl-mxnet-native-version>
<djl-pytorch-native-version>1.8.1</djl-pytorch-native-version>
<djl-tensorflow-native-version>2.4.1</djl-tensorflow-native-version>
<djl-version>0.11.0</djl-version>
<djl-version>0.16.0</djl-version>
<dnsjava-version>3.5.0</dnsjava-version>
<docker-java-version>3.2.13</docker-java-version>
<dozer-version>6.5.2</dozer-version>
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9 changes: 3 additions & 6 deletions ...onents/camel-djl/src/test/java/org/apache/camel/component/djl/training/MnistTraining.java
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Expand Up @@ -20,10 +20,10 @@
import java.io.IOException;
import java.nio.file.Paths;

import ai.djl.Device;
import ai.djl.Model;
import ai.djl.basicdataset.cv.classification.Mnist;
import ai.djl.basicmodelzoo.basic.Mlp;
import ai.djl.engine.Engine;
import ai.djl.metric.Metrics;
import ai.djl.ndarray.types.Shape;
import ai.djl.nn.Block;
Expand All @@ -37,13 +37,9 @@
import ai.djl.training.loss.Loss;
import ai.djl.training.util.ProgressBar;
import ai.djl.translate.TranslateException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

// Helper to train mnist model for tests
public final class MnistTraining {
private static final Logger LOG = LoggerFactory.getLogger(MnistTraining.class);

private static final String MODEL_DIR = "src/test/resources/models/mnist";
private static final String MODEL_NAME = "mlp";

Expand All @@ -62,9 +58,10 @@ public static void main(String[] args) throws IOException, TranslateException {
RandomAccessDataset trainingSet = prepareDataset(Dataset.Usage.TRAIN, 64, Long.MAX_VALUE);
RandomAccessDataset validateSet = prepareDataset(Dataset.Usage.TEST, 64, Long.MAX_VALUE);

final Engine engine = Engine.getInstance();
// setup training configuration
DefaultTrainingConfig config = new DefaultTrainingConfig(Loss.softmaxCrossEntropyLoss())
.addEvaluator(new Accuracy()).optDevices(Device.getDevices(Device.getGpuCount()))
.addEvaluator(new Accuracy()).optDevices(engine.getDevices(engine.getGpuCount()))
.addTrainingListeners(TrainingListener.Defaults.logging());

try (Trainer trainer = model.newTrainer(config)) {
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2 changes: 1 addition & 1 deletion parent/pom.xml
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Expand Up @@ -154,7 +154,7 @@
<directory-watcher-version>0.15.1</directory-watcher-version>
<disruptor-version>3.4.4</disruptor-version>
<dnsjava-version>3.5.0</dnsjava-version>
<djl-version>0.11.0</djl-version>
<djl-version>0.16.0</djl-version>
<djl-mxnet-native-version>1.8.0</djl-mxnet-native-version>
<djl-pytorch-native-version>1.8.1</djl-pytorch-native-version>
<djl-tensorflow-native-version>2.4.1</djl-tensorflow-native-version>
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