Chen Shen 107aef89a8 [CUJ2] add nightly tests for running 500GB ray train (#20195) ... * add * update cluster env * fix build Co-authored-by: Matthew Deng <matthew.j.deng@gmail.com>		2021-11-21 20:04:45 -08:00
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app_config.yaml	[hotfix] Fix inference nightly test by upgrading numpy (#20546)	2021-11-19 08:15:23 -08:00
dataset_shuffle_data_loader.py	[Datasets] Fix API breakage in Datasets nightly test.	2021-10-07 15:07:19 -07:00
dataset_test.yaml	[CUJ2] add nightly tests for running 500GB ray train (#20195)	2021-11-21 20:04:45 -08:00
inference.py	Move ray.data out of experimental (#17560)	2021-08-04 13:31:10 -07:00
inference.yaml	[Dataset] imagenet nightly test (#17069)	2021-07-16 14:15:49 -07:00
pipelined_ingestion_app.yaml	[Release] Use nightly Docker images (#20001)	2021-11-10 18:00:16 -08:00
pipelined_ingestion_compute.yaml	[dataset][nightly-test] add pipelined ingestion/training nightly test	2021-09-23 20:39:03 -07:00
pipelined_training.py	[Train][Data] Change usages of iter_datasets to iter_epochs (#20487)	2021-11-17 18:05:51 -08:00
pipelined_training_app.yaml	[Release] Use nightly Docker images (#20001)	2021-11-10 18:00:16 -08:00
pipelined_training_compute.yaml	[Dataset][nighlyt-test] spend less money #19488	2021-10-18 18:53:50 -07:00
ray_sgd_training.py	[CUJ2] add nightly tests for running 500GB ray train (#20195)	2021-11-21 20:04:45 -08:00
ray_sgd_training_app.yaml	[CUJ2] add nightly tests for running 500GB ray train (#20195)	2021-11-21 20:04:45 -08:00
ray_sgd_training_compute.yaml	[CUJ2] add nightly tests for running 500GB ray train (#20195)	2021-11-21 20:04:45 -08:00
ray_sgd_training_smoke_compute.yaml	[CUJ2] add nightly tests for running 500GB ray train (#20195)	2021-11-21 20:04:45 -08:00
shuffle_app_config.yaml	[Release] Use nightly Docker images (#20001)	2021-11-10 18:00:16 -08:00
shuffle_compute.yaml	add dataset shuffle data loader (#17917)	2021-08-20 11:26:01 -07:00
wait_cluster.py	[dataset][nightly-test] add pipelined ingestion/training nightly test	2021-09-23 20:39:03 -07:00