add a few fixes

README.md

@@ -51,20 +51,20 @@ brew services stop djl-serving
 For Ubuntu
 
 ```
-curl -O https://publish.djl.ai/djl-serving/djl-serving_0.19.0-1_all.deb
-sudo dpkg -i djl-serving_0.19.0-1_all.deb
+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
 ```
 
 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-0.19.0.zip).
+download djl-serving zip file from [here](https://publish.djl.ai/djl-serving/serving-0.20.0.zip).
 
 ```
-curl -O https://publish.djl.ai/djl-serving/serving-0.19.0.zip
-unzip serving-0.19.0.zip
+curl -O https://publish.djl.ai/djl-serving/serving-0.20.0.zip
+unzip serving-0.20.0.zip
 # start djl-serving
-serving-0.19.0\bin\serving.bat
+serving-0.20.0\bin\serving.bat
 ```
 
 ### Docker

benchmark/snapcraft/snapcraft.yaml

@@ -1,5 +1,5 @@
 name: djlbench
-version: '0.19.0'
+version: '0.20.0'
 title: DJL Benhmark
 license: Apache-2.0
 summary: A machine learning benchmarking toolkit

engines/java/README.md

@@ -30,13 +30,13 @@ 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.java:java:0.19.0
+- ai.djl.java:java:0.20.0
 
 ```xml
 <dependency>
     <groupId>ai.djl.java</groupId>
     <artifactId>java</artifactId>
-    <version>0.19.0</version>
+    <version>0.20.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

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:0.19.0
+- ai.djl.python:python:0.20.0
 
 ```xml
 <dependency>
     <groupId>ai.djl.python</groupId>
     <artifactId>python</artifactId>
-    <version>0.19.0</version>
+    <version>0.20.0</version>
     <scope>runtime</scope>
 </dependency>
 ```

gradle.properties

@@ -11,7 +11,7 @@ systemProp.org.gradle.internal.http.connectionTimeout=60000
 # FIXME: Workaround gradle publish issue: https://github.com/gradle/gradle/issues/11308
 systemProp.org.gradle.internal.publish.checksums.insecure=true
 
-djl_version=0.20.0
+djl_version=0.21.0
 onnxruntime_version=1.13.1
 commons_cli_version=1.5.0
 netty_version=4.1.85.Final

serving/docker/Dockerfile

@@ -10,7 +10,7 @@
 # BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, express or implied. See the License for
 # the specific language governing permissions and limitations under the License.
 FROM ubuntu:20.04 AS base
-ARG djl_version=0.20.0~SNAPSHOT
+ARG djl_version=0.21.0~SNAPSHOT
 
 COPY scripts scripts/
 RUN mkdir -p /opt/djl/conf

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:0.19.0
+docker run -it --rm -v $PWD:/opt/ml/model -p 8080:8080 deepjavalibrary/djl-serving:0.20.0
 ```
 
 ### 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:0.19.0-inf1
+docker run --device /dev/neuron0 -it --rm -v $PWD:/opt/ml/model -p 8080:8080 deepjavalibrary/djl-serving:0.20.0-inf1
 ```

serving/docker/aarch64.Dockerfile

@@ -10,7 +10,7 @@
 # BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, express or implied. See the License for
 # the specific language governing permissions and limitations under the License.
 FROM arm64v8/ubuntu:20.04
-ARG djl_version=0.20.0~SNAPSHOT
+ARG djl_version=0.21.0~SNAPSHOT
 ARG torch_version=1.13.0
 
 EXPOSE 8080

serving/docker/deepspeed.Dockerfile

@@ -11,7 +11,7 @@
 # the specific language governing permissions and limitations under the License.
 ARG version=11.6.1-cudnn8-devel-ubuntu20.04
 FROM nvidia/cuda:$version
-ARG djl_version=0.20.0~SNAPSHOT
+ARG djl_version=0.21.0~SNAPSHOT
 ARG torch_version=1.12.1
 ARG accelerate_version=0.13.2
 ARG deepspeed_wheel="https://publish.djl.ai/deepspeed/deepspeed-0.7.5%2Bbf16-py2.py3-none-any.whl"

serving/docker/paddle-cu112.Dockerfile

@@ -10,7 +10,7 @@
 # BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, express or implied. See the License for
 # the specific language governing permissions and limitations under the License.
 FROM paddlepaddle/paddle:2.3.2-gpu-cuda11.2-cudnn8
-ARG djl_version=0.20.0~SNAPSHOT
+ARG djl_version=0.21.0~SNAPSHOT
 
 COPY scripts scripts/
 RUN mkdir -p /opt/djl/conf

serving/docker/pytorch-cu117.Dockerfile

@@ -13,7 +13,7 @@ ARG version=11.7.1-cudnn8-devel-ubuntu20.04
 
 FROM nvidia/cuda:$version as base
 
-ARG djl_version=0.20.0~SNAPSHOT
+ARG djl_version=0.21.0~SNAPSHOT
 ARG torch_version=1.13.0
 
 RUN mkdir -p /opt/djl/conf

serving/docker/pytorch-inf1.Dockerfile

@@ -10,7 +10,7 @@
 # BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, express or implied. See the License for
 # the specific language governing permissions and limitations under the License.
 FROM ubuntu:20.04
-ARG djl_version=0.20.0~SNAPSHOT
+ARG djl_version=0.21.0~SNAPSHOT
 ARG torch_version=1.12.1
 EXPOSE 8080
 

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:1.12.1-0.19.0");
+        dm.installDependency("ai.djl.pytorch:pytorch-jni:1.13.0-0.20.0");
 
         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>0.19.0</version>
+    <version>0.20.0</version>
 </dependency>
 ```