[docs] Updates documents to use JDK 17 (#2898)

apt.txt

@@ -1 +1 @@
-openjdk-11-jdk
+openjdk-17-jdk

docker/README.md

@@ -19,17 +19,17 @@ docker build --build-arg version=<YOUR_VERSION>
 
 You can use the [docker file](https://github.com/deepjavalibrary/djl/blob/master/docker/tensorrt/Dockerfile) provided by us.
 This docker file is a modification of the one provided by NVIDIA in
-[TensorRT](https://github.com/NVIDIA/TensorRT/blob/8.4.1/docker/ubuntu-18.04.Dockerfile) to include JDK11. 
-By default this sets up a container using Ubuntu 18.04 and CUDA 11.6.2. You can build the container with other versions as follows, 
+[TensorRT](https://github.com/NVIDIA/TensorRT/blob/8.4.1/docker/ubuntu-18.04.Dockerfile) to include JDK17.
+By default this sets up a container using Ubuntu 18.04 and CUDA 11.6.2. You can build the container with other versions as follows,
 but keep in mind the TensorRT software requirements outlined [here](https://github.com/NVIDIA/TensorRT#prerequisites):
 
 ```bash
 docker build --build-arg OS_VERSION=<YOUR_VERSION> --build-arg CUDA_VERSION=<YOUR_VERSION>
 ```
 
-To run the container, we recommend using `nvidia-docker run ...` to ensure cuda driver and runtime are compatible. 
+To run the container, we recommend using `nvidia-docker run ...` to ensure cuda driver and runtime are compatible.
 
-We recommend that you follow the setup steps in the [TensorRT guide](https://github.com/NVIDIA/TensorRT) if you 
-need access to the full suite of tools TensorRT provides, such as `trtexec` which can convert onnx models to 
-uff tensorrt models. When following that guide, make sure to use the DJL provided 
-[docker file](https://github.com/deepjavalibrary/djl/blob/master/docker/tensorrt/Dockerfile) to enable JDK11 in the docker container.
+We recommend that you follow the setup steps in the [TensorRT guide](https://github.com/NVIDIA/TensorRT) if you
+need access to the full suite of tools TensorRT provides, such as `trtexec` which can convert onnx models to
+uff tensorrt models. When following that guide, make sure to use the DJL provided
+[docker file](https://github.com/deepjavalibrary/djl/blob/master/docker/tensorrt/Dockerfile) to enable JDK17 in the docker container.

docker/tensorrt/Dockerfile

@@ -42,7 +42,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     fakeroot \
     dh-make \
     build-essential \
-    openjdk-11-jdk && \
+    openjdk-17-jdk && \
     apt-get clean -y && rm -rf /var/lib/apt/lists/*
 
 # Install python3

docker/windows/Dockerfile

@@ -11,4 +11,4 @@ RUN powershell -Command \
     Set-ExecutionPolicy Bypass -Scope Process -Force; [System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072; iex ((New-Object System.Net.WebClient).DownloadString('https://chocolatey.org/install.ps1')); \
     choco feature disable --name showDownloadProgress
 
-RUN choco install -y openjdk11
+RUN choco install -y openjdk17

docs/development/setup.md

@@ -10,21 +10,21 @@ you can use the $JAVA_HOME environment variable to control which version of Java
 For ubuntu:
 
 ```bash
-sudo apt-get install openjdk-11-jdk
+sudo apt-get install openjdk-17-jdk
 ```
 
 For centos
 
 ```bash
-sudo yum install java-11-openjdk
+sudo yum install java-17-openjdk
 ```
 
 For Mac:
 
 ```bash
 brew tap homebrew/cask-versions
 brew update
-brew install --cask temurin11
+brew install --cask zulu17
 ```
 
 You can also download and install [Oracle JDK](https://www.oracle.com/technetwork/java/javase/overview/index.html)