Updating readme to reflect version 0.20.0 -> 0.21.0 change (#508)

* Updating readme to reflect version 0.20.0 -> 0.21.0 change

Co-authored-by: Frank Liu <frankfliu2000@gmail.com>

README.md

@@ -50,20 +50,20 @@ brew services stop djl-serving
 For Ubuntu
 
 ```
-curl -O https://publish.djl.ai/djl-serving/djl-serving_0.20.0-1_all.deb
-sudo dpkg -i djl-serving_0.20.0-1_all.deb
+curl -O https://publish.djl.ai/djl-serving/djl-serving_0.21.0-1_all.deb
+sudo dpkg -i djl-serving_0.21.0-1_all.deb
 ```
 
 For Windows
 
 We are considering to create a `chocolatey` package for Windows. For the time being, you can 
-download djl-serving zip file from [here](https://publish.djl.ai/djl-serving/serving-0.20.0.zip).
+download djl-serving zip file from [here](https://publish.djl.ai/djl-serving/serving-0.21.0.zip).
 
 ```
-curl -O https://publish.djl.ai/djl-serving/serving-0.20.0.zip
-unzip serving-0.20.0.zip
+curl -O https://publish.djl.ai/djl-serving/serving-0.21.0.zip
+unzip serving-0.21.0.zip
 # start djl-serving
-serving-0.20.0\bin\serving.bat
+serving-0.21.0\bin\serving.bat
 ```
 
 ### Docker

engines/python/README.md

@@ -29,13 +29,13 @@ The javadocs output is generated in the `build/doc/javadoc` folder.
 ## Installation
 You can pull the Python engine from the central Maven repository by including the following dependency:
 
-- ai.djl.python:python:0.20.0
+- ai.djl.python:python:0.21.0
 
 ```xml
 <dependency>
     <groupId>ai.djl.python</groupId>
     <artifactId>python</artifactId>
-    <version>0.20.0</version>
+    <version>0.21.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

engines/python/src/main/java/ai/djl/python/engine/DsNDManager.java

@@ -19,7 +19,7 @@
 /**
  * {@code DsNDManager} is the Python engine implementation of {@link NDManager}.
  *
- * <p>TODO: remove this class in 0.20.0
+ * <p>TODO: remove this class in 0.21.0
  */
 public class DsNDManager extends PyNDManager {
 

engines/python/src/main/java/ai/djl/python/engine/PyNDManager.java

@@ -89,7 +89,7 @@ public PyNDManager newSubManager(Device device) {
     /** {@inheritDoc} */
     @Override
     public Engine getEngine() {
-        // FIXME: return engine in 0.20.0, and make this method final
+        // FIXME: return engine in 0.21.0, and make this method final
         return Engine.getEngine("Python");
     }
 

serving/docker/README.md

@@ -32,7 +32,7 @@ mkdir models
 cd models
 curl -O https://resources.djl.ai/test-models/pytorch/bert_qa_jit.tar.gz
 
-docker run -it --rm -v $PWD:/opt/ml/model -p 8080:8080 deepjavalibrary/djl-serving:0.20.0
+docker run -it --rm -v $PWD:/opt/ml/model -p 8080:8080 deepjavalibrary/djl-serving:0.21.0
 ```
 
 ### GPU
@@ -52,5 +52,5 @@ mkdir models
 cd models
 
 curl -O https://resources.djl.ai/test-models/pytorch/bert_qa_inf1.tar.gz
-docker run --device /dev/neuron0 -it --rm -v $PWD:/opt/ml/model -p 8080:8080 deepjavalibrary/djl-serving:0.20.0-inf1
+docker run --device /dev/neuron0 -it --rm -v $PWD:/opt/ml/model -p 8080:8080 deepjavalibrary/djl-serving:0.21.0-inf1
 ```

serving/src/test/java/ai/djl/serving/plugins/DependencyManagerTest.java

@@ -25,7 +25,7 @@ public void testInstallDependency() throws IOException {
         dm.installEngine("OnnxRuntime");
         dm.installEngine("XGBoost");
 
-        dm.installDependency("ai.djl.pytorch:pytorch-jni:1.13.0-0.20.0");
+        dm.installDependency("ai.djl.pytorch:pytorch-jni:1.13.1-0.21.0");
 
         Assert.assertThrows(() -> dm.installDependency("ai.djl.pytorch:pytorch-jni"));
     }

wlm/README.md

@@ -56,7 +56,7 @@ You can pull the server from the central Maven repository by including the follo
 <dependency>
     <groupId>ai.djl.serving</groupId>
     <artifactId>wlm</artifactId>
-    <version>0.20.0</version>
+    <version>0.21.0</version>
 </dependency>
 ```