Kai Fricke 0d3a533ff9 [tune] Introduce tune.with_resources() to specify function trainable resources (#26830) ... We don't have a way to specify resource requirements with the Tuner() API. This PR introduces tune.with_resources() to attach a resource request to class and function trainables. In class trainables, it will override potential existing default resource requests. Signed-off-by: Kai Fricke <kai@anyscale.com>		2022-07-22 13:25:55 +01:00
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ray	[tune] Introduce tune.with_resources() to specify function trainable resources (#26830)	2022-07-22 13:25:55 +01:00
requirements	[Tune/CI] Fix tune-sklearn notebook example (#26470)	2022-07-13 18:14:36 +01:00
asv.conf.json
build-wheel-macos-arm64.sh	[python3.10] build python310 wheels (#24829)	2022-05-16 12:36:33 -07:00
build-wheel-macos.sh	[python3.10] build python310 wheels (#24829)	2022-05-16 12:36:33 -07:00
build-wheel-manylinux2014.sh	[python3.10] build python310 wheels (#24829)	2022-05-16 12:36:33 -07:00
build-wheel-windows.sh	[python3.10] build python310 wheels (#24829)	2022-05-16 12:36:33 -07:00
MANIFEST.in	[hotfix] Revert "Exclude Bazel build files from Ray wheels (#25679)" (#25950)	2022-06-20 20:59:48 -07:00
README-building-wheels.md
requirements.txt	Allow grpcio >= 1.48 (#26765)	2022-07-21 10:03:41 -07:00
requirements_linters.txt	Add import sorting to format.sh (#25678)	2022-06-13 14:08:51 -07:00
requirements_ml_docker.txt	[AIR] Add distributed torch_geometric example (#23580)	2022-04-21 09:48:43 -07:00
setup.py	Allow grpcio >= 1.48 (#26765)	2022-07-21 10:03:41 -07:00