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nav: | ||
- index.md | ||
- local-installation.md | ||
- docker-installation.md | ||
- source-installation.md |
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# Docker installation | ||
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!!! warning | ||
!!! info | ||
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Under Construction | ||
Since this page explains Docker-specific information, it is recommended to see [Source installation](./source-installation.md) as well if you need detailed information. | ||
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## Prerequisites | ||
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- [Git](https://git-scm.com/) | ||
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## How to set up a development environment | ||
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1. Clone `autowarefoundation/autoware` and move to the directory. | ||
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```bash | ||
git clone https://github.com/autowarefoundation/autoware.git | ||
``` | ||
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2. Install the dependencies. | ||
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```bash | ||
./setup-dev-env.sh docker | ||
``` | ||
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## How to set up a workspace | ||
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1. Launch a Docker container | ||
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```bash | ||
rocker --nvidia --x11 --user --volume $HOME/autoware -- ghcr.io/autowarefoundation/autoware-universe:latest | ||
``` | ||
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See [here](https://github.com/autowarefoundation/autoware/tree/main/docker/README.md) for more advanced usage. | ||
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After that, move to the workspace in the container: | ||
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```bash | ||
cd autoware | ||
``` | ||
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2. Create the `src` directory and clone repositories into it. | ||
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```bash | ||
mkdir src | ||
vcs import src < autoware.repos | ||
``` | ||
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3. Build the workspace. | ||
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```bash | ||
colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release | ||
``` | ||
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## How to update a workspace | ||
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1. Update the Docker image. | ||
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```bash | ||
docker pull ghcr.io/autowarefoundation/autoware-universe:latest | ||
rocker --nvidia --x11 --user --volume $HOME/autoware -- ghcr.io/autowarefoundation/autoware-universe:latest | ||
``` | ||
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2. Update the `.repos` file. | ||
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```bash | ||
cd autoware | ||
git pull | ||
``` | ||
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3. Update the repositories. | ||
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```bash | ||
vcs import src < autoware.repos | ||
vcs pull | ||
``` | ||
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4. Build the workspace. | ||
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```bash | ||
colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release | ||
``` | ||
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## Troubleshooting | ||
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Here are solutions for a few specific errors: | ||
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### cuda error: forward compatibility was attempted on non supported hw | ||
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When starting Docker with GPU support enabled for NVIDIA graphics, you may sometimes receive the following error: | ||
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```bash | ||
docker: Error response from daemon: OCI runtime create failed: container_linux.go:349: starting container process caused "process_linux.go:449: container init caused \"process_linux.go:432: running prestart hook 0 caused \\\"error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: initialization error: cuda error: forward compatibility was attempted on non supported hw\\\\n\\\"\"": unknown. | ||
ERROR: Command return non-zero exit code (see above): 125 | ||
``` | ||
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This usually indicates that a new NVIDIA graphics driver has been installed (usually via `apt`) but the system has not yet been restarted. A similar message may appear if the graphics driver is not available, for example because of resuming after suspend. | ||
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To fix this, restart your system after installing the new NVIDIA driver. | ||
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## Tips | ||
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### Non-native arm64 System | ||
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This section describes a process to run `arm64` systems on `amd64` systems using [`qemu-user-static`](https://github.com/multiarch/qemu-user-static). | ||
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Initially, your system is usually incompatible with `arm64` systems. | ||
To check that: | ||
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```sh-session | ||
$ docker run --rm -t arm64v8/ubuntu uname -m | ||
WARNING: The requested image's platform (linux/arm64/v8) does not match the detected host platform (linux/amd64) and no specific platform was requested | ||
standard_init_linux.go:228: exec user process caused: exec format error | ||
``` | ||
Installing `qemu-user-static` enables us to run `arm64` images on `amd64` systems. | ||
```sh-session | ||
$ sudo apt-get install qemu-user-static | ||
$ docker run --rm --privileged multiarch/qemu-user-static --reset -p yes | ||
$ docker run --rm -t arm64v8/ubuntu uname -m | ||
WARNING: The requested image's platform (linux/arm64/v8) does not match the detected host platform (linux/amd64) and no specific platform was requested | ||
aarch64 | ||
``` | ||
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To run specify `arm64` architecture for Autoware's Docker images, add the suffix `-arm64`. | ||
```sh-session | ||
$ docker run --rm -it ghcr.io/autowarefoundation/autoware-universe:latest-arm64 | ||
WARNING: The requested image's platform (linux/arm64) does not match the detected host platform (linux/amd64) and no specific platform was requested | ||
root@5b71391ad50f:/autoware# | ||
``` |
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# Installation of Autoware | ||
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!!! warning | ||
There are two ways to set up Autoware. Choose one according to your preference. | ||
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Under Construction | ||
## 1. Docker installation | ||
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Docker can ensure that all developers in a project have a common, consistent development environment. | ||
It is recommended for beginners, light users, people who do not use Ubuntu. | ||
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See [here](autoware/docker-installation.md) for the detailed steps. | ||
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## 2. Source installation | ||
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Source installation is for the cases where more granular control of the installation environment is needed. | ||
It is recommended for skilled users or people who want to customize the environment. | ||
Note that some problems may occur depending on your local environment. | ||
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See [here](autoware/source-installation.md) for the detailed steps. |
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# Source installation | ||
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## Prerequisites | ||
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- [Ubuntu 20.04](https://releases.ubuntu.com/20.04/) | ||
- [Git](https://git-scm.com/) | ||
- [Registering SSH keys to GitHub](https://github.com/settings/keys) is preferable. | ||
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```bash | ||
sudo apt-get -y update | ||
sudo apt-get -y install git | ||
``` | ||
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## How to set up a development environment | ||
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1. Clone `autowarefoundation/autoware` and move to the directory. | ||
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```bash | ||
git clone https://github.com/autowarefoundation/autoware.git | ||
cd autoware | ||
``` | ||
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2. Install the dependencies. | ||
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We use [Ansible](https://www.ansible.com/) to simplify the steps. | ||
Please see the Ansible playbooks and roles if you want to know exactly what packages are installed. | ||
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> Note: Before installing NVIDIA libraries, confirm and agree with the licenses. | ||
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- [CUDA](https://docs.nvidia.com/cuda/eula/index.html) | ||
- [cuDNN](https://docs.nvidia.com/deeplearning/cudnn/sla/index.html) | ||
- [TensorRT](https://docs.nvidia.com/deeplearning/tensorrt/sla/index.html) | ||
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```bash | ||
./setup-dev-env.sh | ||
``` | ||
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## How to set up a workspace | ||
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1. Create the `src` directory and clone repositories into it. | ||
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Autoware uses [vcstool](https://github.com/dirk-thomas/vcstool) to construct workspaces. | ||
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```bash | ||
cd autoware | ||
mkdir src | ||
vcs import src < autoware.repos | ||
``` | ||
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2. Install dependent ROS packages. | ||
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Autoware requires some ROS 2 packages in addition to the core components. | ||
The tool `rosdep` allows an automatic search and installation of such dependencies. | ||
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```bash | ||
source /opt/ros/galactic/setup.bash | ||
rosdep install --from-paths src --ignore-src --rosdistro $ROS_DISTRO | ||
``` | ||
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3. Build the workspace. | ||
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Autoware uses [colcon](https://colcon.readthedocs.io/en/released/index.html) to build workspaces. | ||
Refer to the documentation for more advanced options. | ||
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```bash | ||
colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release | ||
``` | ||
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## How to update a workspace | ||
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1. Update the `.repos` file. | ||
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```bash | ||
cd autoware | ||
git pull | ||
``` | ||
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2. Update the repositories. | ||
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```bash | ||
vcs import src < autoware.repos | ||
vcs pull | ||
``` | ||
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For Git users: | ||
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- `vcs import` is similar to `git checkout`. | ||
- Note that it doesn't pull from the remote. | ||
- `vcs pull` is similar to `git pull`. | ||
- Note that it doesn't switch branches. | ||
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Refer to the [official documentation](https://github.com/dirk-thomas/vcstool) for more information. | ||
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3. Install dependent ROS packages. | ||
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```bash | ||
source /opt/ros/galactic/setup.bash | ||
rosdep install --from-paths src --ignore-src --rosdistro $ROS_DISTRO | ||
``` | ||
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4. Build the workspace. | ||
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```bash | ||
colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release | ||
``` |
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# Installation | ||
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The supported environments are specified in [target-environments](target-environments.md). | ||
## Target platforms | ||
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The recommended method for installation is through the use of [ADE](https://ade-cli.readthedocs.io/en/latest/), | ||
a Docker-based tool to ensure that all developers in a project have a common, consistent development | ||
environment. It comes with a pre-built version of Autoware.Auto, so that you will not need to compile it yourself | ||
if you do not want to. | ||
Autoware targets the platforms listed below. It may change in future versions of Autoware. | ||
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- [installation-ade](installation-ade.md) | ||
- [installation-ade-arm64](installation-ade-arm64.md) | ||
The Autoware Foundation provides no support on other platforms than those listed below. | ||
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Autoware.Core can also be built without the use of [ADE](https://ade-cli.readthedocs.io/en/latest/) | ||
for cases where a more granular control of the installation environment is needed. | ||
### Architecture | ||
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- [installation-no-ade](installation-no-ade.md) | ||
- amd64 | ||
- arm64 | ||
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A prerequisite for running the full software stack with simulation is the LGSVL simulator: | ||
### ROS version | ||
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- [lgsvl](lgsvl.md) | ||
- ROS 2 Galactic (**active development**) | ||
- ROS 2 Humble (**will be supported in 2022**) | ||
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Refer to [REP-2000](https://www.ros.org/reps/rep-2000.html) for the system dependencies. | ||
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## Installation steps of Autoware | ||
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See [here](autoware) for how to install Autoware. | ||
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## Installation steps of tools for users | ||
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Some other tools are required depending on the evaluation you want to do. | ||
For example, if you run E2E simulation, you need to install a simulator for that. | ||
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See [here](tools-for-users) for how to install the tools. | ||
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## Installation steps of tools for developers | ||
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There are also tools and settings for developers, such as Shells or IDEs. | ||
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See [here](tools-for-developers) for how to install the tools. |
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