An AWS DeepRacer Robomaker image for local training
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This repository contains the extracts from the AWS DeepRacer Robomaker simapp; including
In most cases it will be sufficient to use one of our pre-built images which use optimized Tensorflow binaries.
Both containers support OpenGL acceleration.
Built images are available via docker pull awsdeepracercommunity/deepracer-robomaker:<tag>.
Version 5.2 is the current development version for 2024, and it is receiving both new tracks as well as functionality updates as they are released by AWS.
5.2 introduces an upgrade to Ubuntu 20.04, ROS Noetic, Gazebo 11 and Tensorflow 2.
| Version | Comment | CPU | GPU |
|---|---|---|---|
| 5.2.0-dev | Initial release | 5.2.0-dev-cpu, 5.2.0-dev-cpu-avx2 | 5.2.0-dev-gpu |
Version 5.1 was the development version for 2023. It is now deprecated.
| Version | Comment | AVX | AVX2 | GPU |
|---|---|---|---|---|
| 5.1.0 | Initial release | 5.1.0-cpu-avx | 5.1.0-cpu-avx2 | 5.1.0-gpu |
| 5.1.1 | CUDA 11.4.4 + misc | 5.1.1-cpu-avx | 5.1.1-cpu-avx2 | 5.1.1-gpu |
| 5.1.2 | Node management + misc. | 5.1.2-cpu-avx | 5.1.2-cpu-avx2 | 5.1.2-gpu |
A build script is available as build.sh. By default both images will be built (cpu and gpu for version 5.3). Use the -a switch to limit number of images.
As of Version 5.2 the standard PyPI Tensorflow image is being used, which supports CPU and GPU inference.
To get a folder compatible with DRfCs DR_ROBOMAKER_MOUNT_SIMAPP_DIR use the build-dev-bundle.sh script. Through using a build container it will create a ./install directory that can be mounted in Robomaker.
docker pull awsdeepracercommunity/deepracer-robomaker