ray/docker/base-deps
Avnish Narayan 026bf01071
[RLlib] Upgrade gym version to 0.21 and deprecate pendulum-v0. (#19535)
* Fix QMix, SAC, and MADDPA too.

* Unpin gym and deprecate pendulum v0

Many tests in rllib depended on pendulum v0,
however in gym 0.21, pendulum v0 was deprecated
in favor of pendulum v1. This may change reward
thresholds, so will have to potentially rerun
all of the pendulum v1 benchmarks, or use another
environment in favor. The same applies to frozen
lake v0 and frozen lake v1

Lastly, all of the RLlib tests and have
been moved to python 3.7

* Add gym installation based on python version.

Pin python<= 3.6 to gym 0.19 due to install
issues with atari roms in gym 0.20

* Reformatting

* Fixing tests

* Move atari-py install conditional to req.txt

* migrate to new ale install method

* Fix QMix, SAC, and MADDPA too.

* Unpin gym and deprecate pendulum v0

Many tests in rllib depended on pendulum v0,
however in gym 0.21, pendulum v0 was deprecated
in favor of pendulum v1. This may change reward
thresholds, so will have to potentially rerun
all of the pendulum v1 benchmarks, or use another
environment in favor. The same applies to frozen
lake v0 and frozen lake v1

Lastly, all of the RLlib tests and have
been moved to python 3.7
* Add gym installation based on python version.

Pin python<= 3.6 to gym 0.19 due to install
issues with atari roms in gym 0.20

Move atari-py install conditional to req.txt

migrate to new ale install method

Make parametric_actions_cartpole return float32 actions/obs

Adding type conversions if obs/actions don't match space

Add utils to make elements match gym space dtypes

Co-authored-by: Jun Gong <jungong@anyscale.com>
Co-authored-by: sven1977 <svenmika1977@gmail.com>
2021-11-03 16:24:00 +01:00
..
Dockerfile [RLlib] Upgrade gym version to 0.21 and deprecate pendulum-v0. (#19535) 2021-11-03 16:24:00 +01:00
README.md Revert "Revert "[Docker] Support multiple CUDA Versions (#19505)" (#19756)" (#19763) 2021-10-26 17:32:56 -07:00

About

This is an internal image, the rayproject/ray or rayproject/ray-ml should be used!

This image has the system-level dependencies for Ray and the Ray Autoscaler. The ray-deps image is built on top of this. This image is built periodically or when dependencies are added. Find the Dockerfile here.

Tags

  • :latest - The most recent Ray release.
  • :1.x.x - A specific release build.
  • :nightly - The most recent nightly build.
  • :DATE - A specific build.

Suffixes

  • -cuXXX - These are based off of an NVIDIA CUDA image. They require the Nvidia Docker Runtime to be installed on the host for the container to access GPUs.
  • -cpu- These are based off of an Ubuntu image.
  • Tags without a suffix refer to -cpu images

Other Images