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diff --git a/docs/getting-started/app-workflow-image.md b/docs/getting-started/app-workflow-image.md new file mode 100644 index 0000000..960f4f0 --- /dev/null +++ b/docs/getting-started/app-workflow-image.md @@ -0,0 +1,173 @@ +# 1. Download or Build Your Image # + +You need to have an image that you can run on your hardware device. +You can either build that image from scratch or, if you are going to use +hardware supported by AGL, you can download a ready-made image from the +[AGL Download Website](https://download.automotivelinux.org/AGL/release/) site. + +## Downloading an image ## + +For a look at the supported images, go to the +[AGL Download Website](https://download.automotivelinux.org/AGL/release/). +You can explore that hierarchy and locate images based on the AGL release and the supported hardware. + +The following list summarizes the pre-built image support: + +* **[Quick EMUlator (QEMU)](https://www.qemu.org/):** +QEMU is a generic, open source machine emulator and virtualizer. +You can use QEMU as your "hardware" when you run an image built for +the emulator. +AGL supports QEMU images for 32 and 64-bit architectures for ARM and Intel +devices. + +* **[DRA7xx Evaluation Module Platform](http://www.ti.com/tool/J6EVM5777):** +Texas Instruments Jacinto™ DRA7xx evaluation module platform helps speed up +development efforts and reduces time-to-market for applications +such as infotainment, reconfigurable digital cluster, or integrated digital +cockpit. + +* **[DragonBoard 410C Development Board](https://developer.qualcomm.com/hardware/dragonboard-410c):** +QualComm's DragonBoard™ 410c is its first development board based +on a Qualcomm® Snapdragon™ 400 series processor. +The credit-card sized board has advanced processing power, Wi-Fi, Bluetooth +connectivity, and GPS. +The board is based on the 64-bit Snapdragon 410E processor, + +* **[Intel Core i7 Boards](https://www.intel.com/content/www/us/en/nuc/nuc-kit-nuc7i7bnh-brief.html?wapkw=core+i7+boards):** +Intel offers a wide array of devices and boards. +One such device that uses the Intel Core i7 board supported by AGL +is the Intel® NUC Kit NUC7i7BNH. +The board in this device uses a dual-core 7th Generation Intel Core i7 +processor and Intel Turbo Boost Technology 2.0. + +* **[M3 Ultra Low-Cost Board](https://www.elinux.org/R-Car/Boards/M3SK):** +The MC3ULC is a Renesas R-Car Gen3 SOC development board. +Depending on the SOC specialization, Renesas provides several classes +of these boards. +The "M" classification is for the "middle-end" version as compared to the +"H" classification, which is a "high-end" version. + +* **[Raspberry Pi 3](https://www.raspberrypi.org/products/):** +The Raspberry Pi 3 uses a 1.4GHz 64-bit quad-core processor. +The board features dual-band wireless LAN, Bluetooth 4.2/BLE, +faster Ethernet, and Power-over-Ethernet support with separate PoE HAT. + +If you want to use QEMU or you are developing an application for one the +supported hardware board types, you might consider skipping the build +step, which is described below, and just download your image. + +As an example, suppose you want to download the 64-bit ARM-based image +that you can emulate using QEMU. +Furthermore, you are using the "Flounder" 6.0.0 AGL release. +Go to the [AGL Download Website](https://download.automotivelinux.org/AGL/release/) +site and follow these links: + +``` +flounder -> 6.0.0 -> qemuarm64 -> deploy -> images -> qemuarm64 +``` + +From the list, you could download the ``Image-qemuarm64.bin`` image file. + +## Building an image ## + +Building the image from scratch requires system preparation, build configuration, and then the build itself. +Building an image for the first time can take many hours. + +The following procedure describes how to build your image: + +1. **Prepare Your System:** Your system, known as a "build host" needs to meet some requirements + in order to build images in the AGL environment. + The "[Setting up your operating system](./source-code.html#setting-up-your-operating-system)" + section describes in detail how to make sure your system meets + these requirements. + + In summary, do the following to prepare your system: + + * Be sure that your build system runs a modern version of a supported Linux Distribution. + For a list of supported distributions, see the + "[Supported Linux Distributions](https://yoctoproject.org/docs/2.4.4/ref-manual/ref-manual.html#detailed-supported-distros)" + section in the Yocto Project Reference Manual. + + **NOTE:** Building images using AGL software leverages off the + [Yocto Project](https://www.yoctoproject.org/), which is an Open Source project used to create small, embedded distributions. + + * Be sure that you have updated versions of Tar, Git, Python, and the GNU Compiler Collection (GCC). + + * Install required packages on the build host. + This list of packages depends on the particular Linux Distribution your build host uses. + See the + "[Setting up your operating system](./source-code.html#setting-up-your-operating-system)" + section for the packages you need to install for your specific + distribution. + + **NOTE:** The definitive package requirements are documented in the + "[Required Packages for the Host Development System](https://yoctoproject.org/docs/2.4.4/ref-manual/ref-manual.html#required-packages-for-the-host-development-system)" + section of the Yocto Project Reference Manual. + +2. **Download the AGL source code:** Getting the AGL source code involves creating an + isolated work directory, securing the "repo" tool, and finally + using Git to download the source code into a cloned local repository. + + Be sure to consider the source code version before downloading the source. + If you want the cutting edge version of the AGL source code, download the "master" branch. + Otherwise, download the latest stable AGL release. + + You can see example steps in the + "[Download AGL source code](./source-code.html#download-agl-source-code)" + section. + +3. **Initialize the build environment:** The build process assumes many environment + variable settings, tools, tool locations, and file hierarchies. + Once the AGL software is on your local system, you need to run the build + setup script (i.e. ``aglsetup.sh``) to establish environment variables + and paths used during the build process. + + Because the script accepts options that define the features used in your + build environment, you need to understand what features you want + before running the script. + For information on running the script and on the features you can choose, + see the + "[Set up Build Environment info](./source-code.html#set-up-build-environment-info)" + and + "[Features supported by aglsetup](./source-code.html#features-supported-by-aglsetup)" + sections. + +4. **Customize your build configuration:** Aside from environment variables + and parameters, build parameters and variables need to be defined before + you start the build process. + These parameters (configurations) are defined in the ``local.conf`` + configuration file. + In general, the defaults in that file are good enough. + However, you can customize aspects by editing the ``local.conf`` file. + See the + "[Customize AGL build](./customize_bitbake_conf.html)" + section for the location of the file and a list of common customizations. + + **NOTE:** For detailed explanations of the configurations you can make + in the ``local.conf`` file, consult the + [Yocto Project Documentation](https://www.yoctoproject.org/docs/). + +5. **Building the image:** You use + [BitBake](https://yoctoproject.org/docs/2.4.4/bitbake-user-manual/bitbake-user-manual.html) + to build the image. + BitBake is the engine used by the Yocto Project when building images. + The command used to build the image is ``bitbake``. + + For example, the following command builds the image for the AGL demo platform, + which is an image you can emulate using QEMU: + + ``` + $ bitbake agl-demo-platform + ``` + + As previously mentioned, building a new image can take a long time. + An initial build could take hours. + Once the image has been initially built, re-builds are much quicker as + BitBake takes advantage of cached artifacts. + + The build image resides in the deployment area of the build directory. + For example, Assuming your top-level AGL directory is ``~/workspace_agl``, you find the image here: + + ``` + ~/workspace_agl/build/tmp/deploy/images/qemux86-64/agl-demo-platform-qemux86-64.vmdk.xz + ``` |