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[release] Release DJL 0.32.0
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android/README.md

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@@ -16,7 +16,7 @@ In gradle, you can add the 5 modules in your dependencies:
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```groovy
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dependencies {
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implementation platform("ai.djl:bom:0.31.0")
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implementation platform("ai.djl:bom:0.32.0")
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implementation "ai.djl:api"
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implementation "ai.djl.android:core"

android/pytorch-native/README.md

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./gradlew compileAndroidJNI -Ppt_version=${PYTORCH_VERSION}
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```
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`jnilib/0.31.0/android` folder will be created after build, and shared library will be uploaded to S3 in CI build
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`jnilib/0.32.0/android` folder will be created after build, and shared library will be uploaded to S3 in CI build
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## Build PyTorch android library (.aar) and publish to Sonatype snapshot repo
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# To avoid download jni from S3, manually copy them
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mkdir -p pytorch-native/jnilib
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cp -r ../engines/pytorch/pytorch-native/jnilib/0.31.0/android/* pytorch-native/jnilib
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cp -r ../engines/pytorch/pytorch-native/jnilib/0.32.0/android/* pytorch-native/jnilib
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./gradlew :pytorch-native:assemble
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# publish to local maven repo (~/.m2 folder)

api/README.md

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<dependency>
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<groupId>ai.djl</groupId>
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<artifactId>api</artifactId>
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<version>0.31.0</version>
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<version>0.32.0</version>
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</dependency>
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```
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basicdataset/README.md

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<dependency>
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<groupId>ai.djl</groupId>
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<artifactId>basicdataset</artifactId>
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<version>0.31.0</version>
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<version>0.32.0</version>
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</dependency>
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```
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bom/README.md

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@@ -22,7 +22,7 @@ will need to mention the type as pom and the scope as import) as the following:
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<dependency>
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<groupId>ai.djl</groupId>
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<artifactId>bom</artifactId>
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<version>0.31.0</version>
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<version>0.32.0</version>
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<type>pom</type>
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<scope>import</scope>
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</dependency>
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<dependency>
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<groupId>ai.djl</groupId>
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<artifactId>bom</artifactId>
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<version>0.31.0</version>
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<version>0.32.0</version>
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<type>pom</type>
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<scope>import</scope>
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</dependency>
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- First you need add BOM into your build.gradle file as the following:
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```
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implementation platform("ai.djl:bom:0.31.0")
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implementation platform("ai.djl:bom:0.32.0")
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```
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- Then you import the desired DJL modules into to you pom.xml file (no version is needed):

djl-zero/README.md

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<dependency>
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<groupId>ai.djl</groupId>
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<artifactId>djl-zero</artifactId>
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<version>0.31.0</version>
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<version>0.32.0</version>
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</dependency>
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```

docs/development/example_dataset.md

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In order to extend the dataset, the following dependencies are required:
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```
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api "ai.djl:api:0.31.0"
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api "ai.djl:basicdataset:0.31.0"
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api "ai.djl:api:0.32.0"
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api "ai.djl:basicdataset:0.32.0"
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```
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There are four parts we need to implement for CSVDataset.

docs/hybrid_engine.md

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To use it along with Apache MXNet for additional API support, add the following two dependencies:
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```
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runtimeOnly "ai.djl.mxnet:mxnet-engine:0.31.0"
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runtimeOnly "ai.djl.mxnet:mxnet-engine:0.32.0"
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```
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You can also use PyTorch or TensorFlow Engine as the supplemental engine by adding their corresponding dependencies.
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```
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runtimeOnly "ai.djl.pytorch:pytorch-engine:0.31.0"
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runtimeOnly "ai.djl.pytorch:pytorch-engine:0.32.0"
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```
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```
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runtimeOnly "ai.djl.tensorflow:tensorflow-engine:0.31.0"
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runtimeOnly "ai.djl.tensorflow:tensorflow-engine:0.32.0"
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```
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## How Hybrid works

docs/load_model.md

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See [here](development/configure_logging.md#configure-logging-level) for how to enable debug log
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#### List models programmatically in your code
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You can use [ModelZoo.listModels()](https://javadoc.io/static/ai.djl/api/0.31.0/ai/djl/repository/zoo/ModelZoo.html#listModels--) API to query available models.
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You can use [ModelZoo.listModels()](https://javadoc.io/static/ai.djl/api/0.32.0/ai/djl/repository/zoo/ModelZoo.html#listModels--) API to query available models.
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#### List available models using DJL command line
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engines/ml/lightgbm/README.md

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## Installation
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You can pull the LightGBM engine from the central Maven repository by including the following dependency:
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- ai.djl.ml.lightgbm:lightgbm:0.31.0
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- ai.djl.ml.lightgbm:lightgbm:0.32.0
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```xml
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<dependency>
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<groupId>ai.djl.ml.lightgbm</groupId>
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<artifactId>lightgbm</artifactId>
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<version>0.31.0</version>
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<version>0.32.0</version>
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<scope>runtime</scope>
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</dependency>
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```

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