This adds the structure described here, namely adding a new section under Ray Clusters which is focused on running applications on Ray clusters.
Signed-off-by: Cade Daniel <cade@anyscale.com>
Co-authored-by: Stephanie Wang <swang@cs.berkeley.edu>
*This PR:
Copies the existing clusters API reference to the new structure. The reference docs are split out into Ray Clusters (common between vms and k8s) and Ray Clusters on VMs (specific to vms). Notably, there is also a reference section for k8s, but not in this PR.
Move the three job submission user guides back into a single one. Jules had suggested that we break them out into rest/sdk/cli, but that's not P0 right now.
Fix some bugs in the left navigation bar. There should be less duplication of TOC entries. I'll keep working on related fixes in a different PR.
Signed-off-by: Cade Daniel <cade@anyscale.com>
This PR
Adds notes and example on logging for Ray/K8s.
Implements an API Reference paging pointing to the configuration guide and the RayCluster CR definition.
Takes managed K8s services out of the tabbed structure, to make that page look less sad.
Adds a comparison of the KubeRay operator and legacy K8s operator
Adds an architecture diagram for the autoscaling sections
Fixes some other minor items
Adds some info about networking to the configuration guide, removes the previously planned networking page
Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com>
This PR adds a guide on RayCluster configuration and a page of discussion about autoscaling.
Signed-off-by: Dmitri Gekhtman <dmitri.m.gekhtman@gmail.com>
This PR adds a user guide to AIR for using Ray Train. It provides a high level overview of the trainers and removes redundant sections.
The main file to review is here: doc/source/ray-air/trainer.rst.
Signed-off-by: xwjiang2010 <xwjiang2010@gmail.com>
Signed-off-by: Richard Liaw <rliaw@berkeley.edu>
Signed-off-by: Kai Fricke <kai@anyscale.com>
Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
Co-authored-by: Kai Fricke <kai@anyscale.com>
This PR puts the Ray Clusters (under construction) docs section (see #26754) under Ray Clusters as a subpage.
This makes the master branch docs clean and presentable for users
Ray Clusters doc writers can use existing CI to iterate on the docs, without having a massive PR once we're done.
Signed-off-by: Cade Daniel <cade@anyscale.com>
This PR:
Creates a new chapter in the docs titled "Ray Clusters (Under Construction)".
The new chapter makes the Ray Clusters docs follow the same structure as the other docs (https://diataxis.fr/)
The new chapter will eventually replace the old chapter.
I want to merge this now so that @DmitriGekhtman can put his Kuberay docs into the new structure.
Signed-off-by: Cade Daniel <cade@anyscale.com>
This is a simple example that shows how to do OCR with Ray Datasets. It includes:
- How to upload and download the dataset to and from S3
- How to run OCR on the dataset with tesseract
- How to use actors to keep around and re-use a spaCy context for doing NLP on the data
Co-authored-by: Clark Zinzow <clarkzinzow@gmail.com>
- new section of doc for autoscaling (introduction of serve autoscaling and config parameter)
- Remove the version requirement note inside the doc
Co-authored-by: Simon Mo <simon.mo@hey.com>
Co-authored-by: Edward Oakes <ed.nmi.oakes@gmail.com>
Co-authored-by: shrekris-anyscale <92341594+shrekris-anyscale@users.noreply.github.com>
Co-authored-by: Archit Kulkarni <architkulkarni@users.noreply.github.com>
Follow up on our last discussion for supporting piecemeal fashion air users.
Only did for tensorflow for now, want to collect some feedback on API naming, package structure etc and I will add others.
