[docs] Bump up DJL version to 0.28.0

docs/development/example_dataset.md

@@ -24,8 +24,8 @@ api group: 'org.apache.commons', name: 'commons-csv', version: '1.7'
 In order to extend the dataset, the following dependencies are required:
 
 ```
-api "ai.djl:api:0.27.0"
-api "ai.djl:basicdataset:0.27.0"
+api "ai.djl:api:0.28.0"
+api "ai.djl:basicdataset:0.28.0"
 ```
 
 There are four parts we need to implement for CSVDataset.

docs/hybrid_engine.md

@@ -21,17 +21,17 @@ to run in a hybrid mode:
 To use it along with Apache MXNet for additional API support, add the following two dependencies:
 
 ```
-runtimeOnly "ai.djl.mxnet:mxnet-engine:0.27.0"
+runtimeOnly "ai.djl.mxnet:mxnet-engine:0.28.0"
 ```
 
 You can also use PyTorch or TensorFlow Engine as the supplemental engine by adding their corresponding dependencies.
 
 ```
-runtimeOnly "ai.djl.pytorch:pytorch-engine:0.27.0"
+runtimeOnly "ai.djl.pytorch:pytorch-engine:0.28.0"
 ```
 
 ```
-runtimeOnly "ai.djl.tensorflow:tensorflow-engine:0.27.0"
+runtimeOnly "ai.djl.tensorflow:tensorflow-engine:0.28.0"
 ```
 
 ## How Hybrid works

docs/load_model.md

@@ -181,7 +181,7 @@ Here is a few tips you can use to help you debug model loading issue:
 See [here](development/configure_logging.md#configure-logging-level) for how to enable debug log
 
 #### List models programmatically in your code
-You can use [ModelZoo.listModels()](https://javadoc.io/static/ai.djl/api/0.27.0/ai/djl/repository/zoo/ModelZoo.html#listModels--) API to query available models.
+You can use [ModelZoo.listModels()](https://javadoc.io/static/ai.djl/api/0.28.0/ai/djl/repository/zoo/ModelZoo.html#listModels--) API to query available models.
 
 #### List available models using DJL command line
 

engines/ml/lightgbm/README.md

@@ -36,13 +36,13 @@ LightGBM can only run on top of the Linux/Mac/Windows machine using x86_64.
 ## Installation
 You can pull the LightGBM engine from the central Maven repository by including the following dependency:
 
-- ai.djl.ml.lightgbm:lightgbm:0.27.0
+- ai.djl.ml.lightgbm:lightgbm:0.28.0
 
 ```xml
 <dependency>
     <groupId>ai.djl.ml.lightgbm</groupId>
     <artifactId>lightgbm</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

engines/ml/xgboost/README.md

@@ -37,13 +37,13 @@ XGBoost can only run on top of the Linux/Mac machine. User can build from source
 ## Installation
 You can pull the XGBoost engine from the central Maven repository by including the following dependency:
 
-- ai.djl.ml.xgboost:xgboost:0.27.0
+- ai.djl.ml.xgboost:xgboost:0.28.0
 
 ```xml
 <dependency>
     <groupId>ai.djl.ml.xgboost</groupId>
     <artifactId>xgboost</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

engines/mxnet/mxnet-engine/README.md

@@ -7,7 +7,7 @@ This module contains the Deep Java Library (DJL) EngineProvider for Apache MXNet
 We don't recommend that developers use classes in this module directly. Use of these classes
 will couple your code with Apache MXNet and make switching between engines difficult. Even so,
 developers are not restricted from using engine-specific features. For more information,
-see [NDManager#invoke()](https://javadoc.io/static/ai.djl/api/0.27.0/ai/djl/ndarray/NDManager.html#invoke-java.lang.String-ai.djl.ndarray.NDArray:A-ai.djl.ndarray.NDArray:A-ai.djl.util.PairList-).
+see [NDManager#invoke()](https://javadoc.io/static/ai.djl/api/0.28.0/ai/djl/ndarray/NDManager.html#invoke-java.lang.String-ai.djl.ndarray.NDArray:A-ai.djl.ndarray.NDArray:A-ai.djl.util.PairList-).
 
 ## Documentation
 
@@ -33,7 +33,7 @@ You can pull the MXNet engine from the central Maven repository by including the
 <dependency>
     <groupId>ai.djl.mxnet</groupId>
     <artifactId>mxnet-engine</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

engines/mxnet/mxnet-model-zoo/README.md

@@ -27,7 +27,7 @@ You can pull the MXNet engine from the central Maven repository by including the
 <dependency>
     <groupId>ai.djl.mxnet</groupId>
     <artifactId>mxnet-model-zoo</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```
 

engines/onnxruntime/onnxruntime-android/README.md

@@ -6,13 +6,13 @@ This module contains the DJL ONNX Runtime engine for Android.
 ## Installation
 You can pull the ONNX Runtime for Android from the central Maven repository by including the following dependency:
 
-- ai.djl.android:onnxruntime:0.27.0
+- ai.djl.android:onnxruntime:0.28.0
 
 ```xml
 <dependency>
     <groupId>ai.djl.android</groupId>
     <artifactId>onnxruntime</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

engines/onnxruntime/onnxruntime-engine/README.md

@@ -37,13 +37,13 @@ for the official ONNX Runtime project.
 ## Installation
 You can pull the ONNX Runtime engine from the central Maven repository by including the following dependency:
 
-- ai.djl.onnxruntime:onnxruntime-engine:0.27.0
+- ai.djl.onnxruntime:onnxruntime-engine:0.28.0
 
 ```xml
 <dependency>
     <groupId>ai.djl.onnxruntime</groupId>
     <artifactId>onnxruntime-engine</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
@@ -61,7 +61,7 @@ Maven:
 <dependency>
     <groupId>ai.djl.onnxruntime</groupId>
     <artifactId>onnxruntime-engine</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
     <scope>runtime</scope>
     <exclusions>
         <exclusion>
@@ -81,7 +81,7 @@ Maven:
 Gradle:
 
 ```groovy
-implementation("ai.djl.onnxruntime:onnxruntime-engine:0.27.0") {
+implementation("ai.djl.onnxruntime:onnxruntime-engine:0.28.0") {
     exclude group: "com.microsoft.onnxruntime", module: "onnxruntime"
 }
 implementation "com.microsoft.onnxruntime:onnxruntime_gpu:1.17.1"

engines/pytorch/pytorch-model-zoo/README.md

@@ -25,7 +25,7 @@ You can pull the PyTorch engine from the central Maven repository by including t
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-model-zoo</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```
 

engines/tensorflow/tensorflow-api/README.md

@@ -16,6 +16,6 @@ You can pull the TensorFlow core java API from the central Maven repository by i
 <dependency>
     <groupId>ai.djl.tensorflow</groupId>
     <artifactId>tensorflow-api</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```

engines/tensorflow/tensorflow-engine/README.md

@@ -28,13 +28,13 @@ The javadocs output is built in the `build/doc/javadoc` folder.
 
 You can pull the TensorFlow engine from the central Maven repository by including the following dependency:
 
-- ai.djl.tensorflow:tensorflow-engine:0.27.0
+- ai.djl.tensorflow:tensorflow-engine:0.28.0
 
 ```xml
 <dependency>
     <groupId>ai.djl.tensorflow</groupId>
     <artifactId>tensorflow-engine</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

engines/tensorflow/tensorflow-model-zoo/README.md

@@ -26,7 +26,7 @@ from the central Maven repository by including the following dependency:
 <dependency>
     <groupId>ai.djl.tensorflow</groupId>
     <artifactId>tensorflow-model-zoo</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```
 

engines/tensorrt/README.md

@@ -28,13 +28,13 @@ The javadocs output is generated in the `build/doc/javadoc` folder.
 ## Installation
 You can pull the TensorRT engine from the central Maven repository by including the following dependency:
 
-- ai.djl.tensorrt:tensorrt:0.27.0
+- ai.djl.tensorrt:tensorrt:0.28.0
 
 ```xml
 <dependency>
     <groupId>ai.djl.tensorrt</groupId>
     <artifactId>tensorrt</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

extensions/audio/README.md

@@ -23,6 +23,6 @@ You can pull the module from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl.audio</groupId>
     <artifactId>audio</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```

extensions/aws-ai/README.md

@@ -58,6 +58,6 @@ You can pull the module from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl.aws</groupId>
     <artifactId>aws-ai</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```

extensions/fasttext/README.md

@@ -34,7 +34,7 @@ You can pull the fastText engine from the central Maven repository by including
 <dependency>
     <groupId>ai.djl.fasttext</groupId>
     <artifactId>fasttext-engine</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```
 

extensions/hadoop/README.md

@@ -52,6 +52,6 @@ You can pull the module from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl.hadoop</groupId>
     <artifactId>hadoop</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```

extensions/opencv/README.md

@@ -23,6 +23,6 @@ You can pull the module from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl.opencv</groupId>
     <artifactId>opencv</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```

extensions/sentencepiece/README.md

@@ -23,6 +23,6 @@ You can pull the module from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl.sentencepiece</groupId>
     <artifactId>sentencepiece</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```

extensions/spark/README.md

@@ -34,7 +34,7 @@ You can pull the module from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl.spark</groupId>
     <artifactId>spark_2.12</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```
 

extensions/tablesaw/README.md

@@ -25,6 +25,6 @@ You can pull the module from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl.tablesaw</groupId>
     <artifactId>tablesaw</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```

extensions/timeseries/README.md

@@ -245,6 +245,6 @@ You can pull the module from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl.timeseries</groupId>
     <artifactId>timeseries</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```

extensions/timeseries/docs/forecast_with_M5_data.md

@@ -56,7 +56,7 @@ repositories {
 }
 dependencies {
   implementation "org.apache.logging.log4j:log4j-slf4j-impl:2.17.1"
-  implementation platform("ai.djl:bom:0.27.0")
+  implementation platform("ai.djl:bom:0.28.0")
   implementation "ai.djl:api"
   implementation "ai.djl.timeseries"
   runtimeOnly "ai.djl.mxnet:mxnet-engine"

extensions/tokenizers/README.md

@@ -23,7 +23,7 @@ You can pull the module from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl.huggingface</groupId>
     <artifactId>tokenizers</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```
 

model-zoo/README.md

@@ -33,7 +33,7 @@ You can pull the model zoo from the central Maven repository by including the fo
 <dependency>
     <groupId>ai.djl</groupId>
     <artifactId>model-zoo</artifactId>
-    <version>0.27.0</version>
+    <version>0.28.0</version>
 </dependency>
 ```