Increase DJL version to 0.27.0

Author: xyang16

android/README.md

@@ -16,7 +16,7 @@ In gradle, you can add the 5 modules in your dependencies:
 
 ```groovy
 dependencies {
-    implementation platform("ai.djl:bom:0.26.0")
+    implementation platform("ai.djl:bom:0.27.0")
 
     implementation "ai.djl:api"
     implementation "ai.djl.android:core"

android/gradle.properties

@@ -17,5 +17,5 @@ org.gradle.jvmargs=-Xmx1536m
 android.useAndroidX=true
 # Automatically convert third-party libraries to use AndroidX
 android.enableJetifier=true
-djl_version=0.26.0
+djl_version=0.27.0
 pytorch_version=2.1.1

android/pytorch-native/README.md

@@ -124,7 +124,7 @@ cd ..
 ./gradlew compileAndroidJNI -Ppt_version=${PYTORCH_VERSION}
 ```
 
-`jnilib/0.26.0/android` folder will be created after build, and shared library will be uploaded to S3 in CI build
+`jnilib/0.27.0/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/0.26.0/android/* pytorch-native/jnilib
+cp -r ../engines/pytorch/pytorch-native/jnilib/0.27.0/android/* pytorch-native/jnilib
 
 ./gradlew :pytorch-native:assemble
 # publish to local maven repo (~/.m2 folder)

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>0.26.0</version>
+    <version>0.27.0</version>
 </dependency>
 ```
 

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>0.26.0</version>
+    <version>0.27.0</version>
 </dependency>
 ```
 

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>0.26.0</version>
+            <version>0.27.0</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>0.26.0</version>
+            <version>0.27.0</version>
             <type>pom</type>
             <scope>import</scope>
         </dependency>
@@ -65,7 +65,7 @@ will need to mention the type as pom and the scope as import) as the following:
 - First you need add BOM into your build.gradle file as the following:
 
 ```
-    implementation platform("ai.djl:bom:0.26.0")
+    implementation platform("ai.djl:bom:0.27.0")
 ```
 
 - Then you import the desired DJL modules into to you pom.xml file (no version is needed):

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>0.26.0</version>
+    <version>0.27.0</version>
 </dependency>
 ```

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:0.26.0"
-api "ai.djl:basicdataset:0.26.0"
+api "ai.djl:api:0.27.0"
+api "ai.djl:basicdataset:0.27.0"
 ```
 
 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:0.26.0"
+runtimeOnly "ai.djl.mxnet:mxnet-engine:0.27.0"
 ```
 
 You can also use PyTorch or TensorFlow Engine as the supplemental engine by adding their corresponding dependencies.
 
 ```
-runtimeOnly "ai.djl.pytorch:pytorch-engine:0.26.0"
+runtimeOnly "ai.djl.pytorch:pytorch-engine:0.27.0"
 ```
 
 ```
-runtimeOnly "ai.djl.tensorflow:tensorflow-engine:0.26.0"
+runtimeOnly "ai.djl.tensorflow:tensorflow-engine:0.27.0"
 ```
 
 ## 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/0.26.0/ai/djl/repository/zoo/ModelZoo.html#listModels--) API to query available models.
+You can use [ModelZoo.listModels()](https://javadoc.io/static/ai.djl/api/0.27.0/ai/djl/repository/zoo/ModelZoo.html#listModels--) API to query available models.
 
 #### List available models using DJL command line