This repository contains the extracts from the AWS DeepRacer Robomaker simapp; including
- the environment and tracks
- the robotics agent code ('markov')
- Dockerfile
In most cases it will be sufficient to use one of our pre-built images which use optimized Tensorflow binaries. Depending on how modern processor you have available you can pick which instruction sets to use.
- AVX is available on most Intel Core processors from the second generation on - running DeepRacer on an older processor really does not make sense; hence we do not have pre-built images without this instruction set.
- AVX2 is available on more modern Intel Core processors; starting from the Haswell architecture (4th generation), and is probably the image most will use.
- AVX-512 was available on newer Xeon and Core i7-X processors. Due to convergence issues it has been removed.
- GPU uses Tensorflow-GPU instead of CPU. It is not compiled with special instruction sets for the CPU.
Available tags are:
| Version | Comment | AVX | AVX2 | GPU |
|---|---|---|---|---|
| Release | Version 2.0.9 | cpu, cpu-avx, cpu-gl-avx |
cpu-avx2, cpu-gl-avx2 |
gpu, gpu-gl |
| 2.0.1 | Update 29-MAR | 2.0.1-cpu-avx, 2.0.1-cpu |
2.0.1-cpu-avx2 |
2.0.1-gpu |
| 2.0.2 | Update 01-APR | 2.0.2-cpu-avx |
2.0.2-cpu-avx2 |
|
| 2.0.3 | Spain Track | 2.0.3-cpu-avx |
2.0.3-cpu-avx2 |
2.0.3-gpu |
| 2.0.4 | Spain Track Hotfix | 2.0.4-cpu-avx2 |
||
| 2.0.5 | Update 07-MAY | 2.0.5-cpu-avx |
2.0.5-cpu-avx2 |
2.0.5-gpu |
| 2.0.6 | Update 20-MAY and 22-May | 2.0.6-cpu-avx |
2.0.6-cpu-avx2 |
2.0.6-gpu |
| 2.0.7 | June track + fixes | 2.0.7-cpu-avx |
2.0.7-cpu-avx2 |
2.0.7-gpu |
| 2.0.8 | Update 8-JUN + fixes | 2.0.8-cpu-avx 2.0.8-cpu-gl-avx |
2.0.8-cpu-avx2 2.0.8-cpu-gl-avx |
2.0.8-gpu 2.0.8-gpu-gl |
| 2.0.9 | July Track | 2.0.9-cpu-avx 2.0.9-cpu-gl-avx |
2.0.9-cpu-avx2 2.0.9-cpu-gl-avx |
2.0.9-gpu 2.0.9-gpu-gl |
The built image is available via docker pull awsdeepracercommunity/deepracer-robomaker:cpu. For other images replace cpu with the tag of your choice from the above table.
To build the CPU image run docker build -t awsdeepracercommunity/deepracer-robomaker:cpu -f docker/Dockerfile.cpu . --build-arg TENSORFLOW_VER='tensorflow==1.11.0
To build the GPU image run docker build -t awsdeepracercommunity/deepracer-robomaker:gpu -f docker/Dockerfile.gpu .
To add a custom tensorflow library run docker build -t awsdeepracercommunity/deepracer-robomaker:cpu -f docker/Dockerfile.cpu . --build-arg TENSORFLOW_VER=<http-url-to-file>
Tensorflow has been built with the following parameters:
cpu-avxwith-march=x86-64 -maes -mavx -mmmx -mpclmul -mpopcnt -msse -msse2 -msse3 -msse4.1 -msse4.2 -mssse3cpu-avx2with-march=x86-64 -maes -mavx -mavx2 -mmmx -mpclmul -mpopcnt -msse -msse2 -msse3 -msse4.1 -msse4.2 -mssse3 -mf16c -mfma