Bump up versions in documents to point to new url

ydm-amazon · Jul 17, 2024 · 8ef0121 · 8ef0121
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diff --git a/android/pytorch-native/README.md b/android/pytorch-native/README.md
@@ -124,7 +124,7 @@ cd ..
 ./gradlew compileAndroidJNI -Ppt_version=${PYTORCH_VERSION}
 ```
 
-`jnilib/0.28.0/android` folder will be created after build, and shared library will be uploaded to S3 in CI build
+`jnilib/0.29.0/android` folder will be created after build, and shared library will be uploaded to S3 in CI build
 
 ## Build PyTorch android library (.aar) and publish to Sonatype snapshot repo
 
@@ -138,7 +138,7 @@ cd ../../../android
 
 # To avoid download jni from S3, manually copy them
 mkdir -p pytorch-native/jnilib
-cp -r ../engines/pytorch/pytorch-native/jnilib/0.28.0/android/* pytorch-native/jnilib
+cp -r ../engines/pytorch/pytorch-native/jnilib/0.29.0/android/* pytorch-native/jnilib
 
 ./gradlew :pytorch-native:assemble
 # publish to local maven repo (~/.m2 folder)

diff --git a/api/README.md b/api/README.md
@@ -35,7 +35,7 @@ You can pull the DJL API from the central Maven repository by including the foll
 <dependency>
     <groupId>ai.djl</groupId>
     <artifactId>api</artifactId>
-    <version>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
 

diff --git a/basicdataset/README.md b/basicdataset/README.md
@@ -29,7 +29,7 @@ You can pull the module from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl</groupId>
     <artifactId>basicdataset</artifactId>
-    <version>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
 

diff --git a/bom/README.md b/bom/README.md
@@ -22,7 +22,7 @@ will need to mention the type as pom and the scope as import) as the following:
         <dependency>
             <groupId>ai.djl</groupId>
             <artifactId>bom</artifactId>
-            <version>0.28.0</version>
+            <version>0.29.0</version>
             <type>pom</type>
             <scope>import</scope>
         </dependency>
@@ -38,7 +38,7 @@ will need to mention the type as pom and the scope as import) as the following:
         <dependency>
             <groupId>ai.djl</groupId>
             <artifactId>bom</artifactId>
-            <version>0.28.0</version>
+            <version>0.29.0</version>
             <type>pom</type>
             <scope>import</scope>
         </dependency>

diff --git a/djl-zero/README.md b/djl-zero/README.md
@@ -49,6 +49,6 @@ You can pull the module from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl</groupId>
     <artifactId>djl-zero</artifactId>
-    <version>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
diff --git a/docs/load_model.md b/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/0.28.0/ai/djl/repository/zoo/ModelZoo.html#listModels--) API to query available models.
+You can use [ModelZoo.listModels()](https://javadoc.io/static/ai.djl/api/0.29.0/ai/djl/repository/zoo/ModelZoo.html#listModels--) API to query available models.
 
 #### List available models using DJL command line
 

diff --git a/engines/ml/lightgbm/README.md b/engines/ml/lightgbm/README.md
@@ -42,7 +42,7 @@ You can pull the LightGBM engine from the central Maven repository by including
 <dependency>
     <groupId>ai.djl.ml.lightgbm</groupId>
     <artifactId>lightgbm</artifactId>
-    <version>0.28.0</version>
+    <version>0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

diff --git a/engines/ml/xgboost/README.md b/engines/ml/xgboost/README.md
@@ -43,7 +43,7 @@ You can pull the XGBoost engine from the central Maven repository by including t
 <dependency>
     <groupId>ai.djl.ml.xgboost</groupId>
     <artifactId>xgboost</artifactId>
-    <version>0.28.0</version>
+    <version>0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

diff --git a/engines/mxnet/mxnet-engine/README.md b/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/0.28.0/ai/djl/ndarray/NDManager.html#invoke-java.lang.String-ai.djl.ndarray.NDArray:A-ai.djl.ndarray.NDArray:A-ai.djl.util.PairList-).
+see [NDManager#invoke()](https://javadoc.io/static/ai.djl/api/0.29.0/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>0.28.0</version>
+    <version>0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

diff --git a/engines/mxnet/mxnet-model-zoo/README.md b/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>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
 

diff --git a/engines/onnxruntime/onnxruntime-android/README.md b/engines/onnxruntime/onnxruntime-android/README.md
@@ -12,7 +12,7 @@ You can pull the ONNX Runtime for Android from the central Maven repository by i
 <dependency>
     <groupId>ai.djl.android</groupId>
     <artifactId>onnxruntime</artifactId>
-    <version>0.28.0</version>
+    <version>0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
diff --git a/engines/onnxruntime/onnxruntime-engine/README.md b/engines/onnxruntime/onnxruntime-engine/README.md
@@ -43,7 +43,7 @@ You can pull the ONNX Runtime engine from the central Maven repository by includ
 <dependency>
     <groupId>ai.djl.onnxruntime</groupId>
     <artifactId>onnxruntime-engine</artifactId>
-    <version>0.28.0</version>
+    <version>0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
@@ -61,7 +61,7 @@ Maven:
 <dependency>
     <groupId>ai.djl.onnxruntime</groupId>
     <artifactId>onnxruntime-engine</artifactId>
-    <version>0.28.0</version>
+    <version>0.29.0</version>
     <scope>runtime</scope>
     <exclusions>
         <exclusion>

diff --git a/engines/pytorch/pytorch-engine/README.md b/engines/pytorch/pytorch-engine/README.md
@@ -30,7 +30,7 @@ You can pull the PyTorch engine from the central Maven repository by including t
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-engine</artifactId>
-    <version>0.28.0</version>
+    <version>0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
@@ -115,7 +115,7 @@ export PYTORCH_FLAVOR=cpu
 ### macOS
 For macOS, you can use the following library:
 
-- ai.djl.pytorch:pytorch-jni:2.2.2-0.28.0
+- ai.djl.pytorch:pytorch-jni:2.2.2-0.29.0
 - ai.djl.pytorch:pytorch-native-cpu:2.1.1:osx-x86_64
 
 ```xml
@@ -129,7 +129,7 @@ For macOS, you can use the following library:
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-jni</artifactId>
-    <version>2.2.2-0.28.0</version>
+    <version>2.2.2-0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
@@ -139,7 +139,7 @@ For macOS, you can use the following library:
 ### macOS M1
 For macOS M1, you can use the following library:
 
-- ai.djl.pytorch:pytorch-jni:2.2.2-0.28.0
+- ai.djl.pytorch:pytorch-jni:2.2.2-0.29.0
 - ai.djl.pytorch:pytorch-native-cpu:2.2.2:osx-aarch64
 
 ```xml
@@ -153,7 +153,7 @@ For macOS M1, you can use the following library:
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-jni</artifactId>
-    <version>2.2.2-0.28.0</version>
+    <version>2.2.2-0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
@@ -164,7 +164,7 @@ installed on your GPU machine, you can use one of the following library:
 
 #### Linux GPU
 
-- ai.djl.pytorch:pytorch-jni:2.2.2-0.28.0
+- ai.djl.pytorch:pytorch-jni:2.2.2-0.29.0
 - ai.djl.pytorch:pytorch-native-cu121:2.2.2:linux-x86_64 - CUDA 12.1
 
 ```xml
@@ -178,14 +178,14 @@ installed on your GPU machine, you can use one of the following library:
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-jni</artifactId>
-    <version>2.2.2-0.28.0</version>
+    <version>2.2.2-0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
 
 ### Linux CPU
 
-- ai.djl.pytorch:pytorch-jni:2.2.2-0.28.0
+- ai.djl.pytorch:pytorch-jni:2.2.2-0.29.0
 - ai.djl.pytorch:pytorch-native-cpu:2.2.2:linux-x86_64
 
 ```xml
@@ -199,14 +199,14 @@ installed on your GPU machine, you can use one of the following library:
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-jni</artifactId>
-    <version>2.2.2-0.28.0</version>
+    <version>2.2.2-0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
 
 ### For aarch64 build
 
-- ai.djl.pytorch:pytorch-jni:2.2.2-0.28.0
+- ai.djl.pytorch:pytorch-jni:2.2.2-0.29.0
 - ai.djl.pytorch:pytorch-native-cpu-precxx11:2.2.2:linux-aarch64
 
 ```xml
@@ -220,7 +220,7 @@ installed on your GPU machine, you can use one of the following library:
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-jni</artifactId>
-    <version>2.2.2-0.28.0</version>
+    <version>2.2.2-0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
@@ -230,7 +230,7 @@ installed on your GPU machine, you can use one of the following library:
 We also provide packages for the system like CentOS 7/Ubuntu 14.04 with GLIBC >= 2.17.
 All the package were built with GCC 7, we provided a newer `libstdc++.so.6.24` in the package that contains `CXXABI_1.3.9` to use the package successfully.
 
-- ai.djl.pytorch:pytorch-jni:2.2.2-0.28.0
+- ai.djl.pytorch:pytorch-jni:2.2.2-0.29.0
 - ai.djl.pytorch:pytorch-native-cu121-precxx11:2.2.2:linux-x86_64 - CUDA 12.1
 - ai.djl.pytorch:pytorch-native-cpu-precxx11:2.2.2:linux-x86_64   - CPU
 
@@ -245,7 +245,7 @@ All the package were built with GCC 7, we provided a newer `libstdc++.so.6.24` i
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-jni</artifactId>
-    <version>2.2.2-0.28.0</version>
+    <version>2.2.2-0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
@@ -261,7 +261,7 @@ All the package were built with GCC 7, we provided a newer `libstdc++.so.6.24` i
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-jni</artifactId>
-    <version>2.2.2-0.28.0</version>
+    <version>2.2.2-0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
@@ -276,7 +276,7 @@ For the Windows platform, you can choose between CPU and GPU.
 
 #### Windows GPU
 
-- ai.djl.pytorch:pytorch-jni:2.2.2-0.28.0
+- ai.djl.pytorch:pytorch-jni:2.2.2-0.29.0
 - ai.djl.pytorch:pytorch-native-cu121:2.2.2:win-x86_64 - CUDA 12.1
 
 ```xml
@@ -290,14 +290,14 @@ For the Windows platform, you can choose between CPU and GPU.
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-jni</artifactId>
-    <version>2.2.2-0.28.0</version>
+    <version>2.2.2-0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
 
 ### Windows CPU
 
-- ai.djl.pytorch:pytorch-jni:2.2.2-0.28.0
+- ai.djl.pytorch:pytorch-jni:2.2.2-0.29.0
 - ai.djl.pytorch:pytorch-native-cpu:2.2.2:win-x86_64
 
 ```xml
@@ -311,7 +311,7 @@ For the Windows platform, you can choose between CPU and GPU.
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-jni</artifactId>
-    <version>2.2.2-0.28.0</version>
+    <version>2.2.2-0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```
diff --git a/engines/pytorch/pytorch-model-zoo/README.md b/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>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
 

diff --git a/engines/tensorflow/tensorflow-api/README.md b/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>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
diff --git a/engines/tensorflow/tensorflow-engine/README.md b/engines/tensorflow/tensorflow-engine/README.md
@@ -34,7 +34,7 @@ You can pull the TensorFlow engine from the central Maven repository by includin
 <dependency>
     <groupId>ai.djl.tensorflow</groupId>
     <artifactId>tensorflow-engine</artifactId>
-    <version>0.28.0</version>
+    <version>0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

diff --git a/engines/tensorflow/tensorflow-model-zoo/README.md b/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>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
 

diff --git a/engines/tensorrt/README.md b/engines/tensorrt/README.md
@@ -34,7 +34,7 @@ You can pull the TensorRT engine from the central Maven repository by including
 <dependency>
     <groupId>ai.djl.tensorrt</groupId>
     <artifactId>tensorrt</artifactId>
-    <version>0.28.0</version>
+    <version>0.29.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

diff --git a/extensions/audio/README.md b/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>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
diff --git a/extensions/aws-ai/README.md b/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>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
diff --git a/extensions/fasttext/README.md b/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>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
 
diff --git a/extensions/hadoop/README.md b/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>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
diff --git a/extensions/opencv/README.md b/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>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```
diff --git a/extensions/sentencepiece/README.md b/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>0.28.0</version>
+    <version>0.29.0</version>
 </dependency>
 ```