ray/docker
Amog Kamsetty 84e958f330
[ML] Consolidate and upgrade Deep Learning Dependencies (#18574)
* wip
'

* upgrade requirements

* add file

* fix

* fixes

* Apply suggestions from code review

Try mlagents==0.21.0 for now (works with torch 1.9).

* Apply suggestions from code review

* wip

* wip

* fix

* fix

* upgrade lightning bolts

* address comment

Co-authored-by: Sven Mika <sven@anyscale.io>
2021-09-16 20:16:40 -07:00
..
autoscaler [Docs] READmes for DockerHub (#11350) 2020-10-16 15:46:13 -07:00
base-deps [Build] Ray Docker image for Python 3.9. (#16571) 2021-07-22 13:38:57 -07:00
development [docker] Fix docker 'development' build failure (#13289) 2021-02-25 14:57:30 -08:00
examples [RLlib] CV2 to Skimage dependency change (#16841) 2021-07-21 22:24:18 -04:00
ray support build different python wheel in setup.py (#16998) 2021-07-16 13:01:48 +08:00
ray-deps support build different python wheel in setup.py (#16998) 2021-07-16 13:01:48 +08:00
ray-ml [ML] Consolidate and upgrade Deep Learning Dependencies (#18574) 2021-09-16 20:16:40 -07:00
ray-worker-container [CI] Temporary disable worker-in-container test (#18606) 2021-09-14 22:38:20 -07:00
fix-docker-latest.sh [release] Add python 3.9 to fix-docker-latest.sh (#18037) 2021-08-24 10:07:03 +02:00
README.md [CI] Fix-Up Docker Build (Use Python) (#11139) 2020-10-12 14:22:51 -07:00

Overview of how the ray images are built:

Images without a "-cpu" or "-gpu" tag are built on ubuntu/focal. They are just an alias for -cpu (e.g. ray:latest is the same as ray:latest-cpu).

ubuntu/focal
└── base-deps:cpu
    └── ray-deps:cpu
        └── ray:cpu
            └── ray-ml:cpu

nvidia/cuda
└── base-deps:gpu
    └── ray-deps:gpu
        └── ray:gpu
            └── ray-ml:gpu