[Core] Upgrade ray to 2.3.0

docs/source/reference/local/setup.rst

@@ -14,13 +14,13 @@ For further reference, `here <https://docs.ray.io/en/latest/ray-core/configure.h
 Installing SkyPilot dependencies
 -----------------------------------
 
-SkyPilot On-prem requires :code:`python3`, :code:`ray==2.0.1`, and :code:`sky` to be setup on all local nodes and globally available to all users.
+SkyPilot On-prem requires :code:`python3`, :code:`ray==2.2.0`, and :code:`sky` to be setup on all local nodes and globally available to all users.
 
 To install Ray and SkyPilot for all users, run the following commands on all local nodes:
 
 .. code-block:: console
 
-   $ pip3 install ray[default]==2.0.1
+   $ pip3 install ray[default]==2.2.0
 
    $ # SkyPilot requires python >= 3.6.
    $ pip3 install skypilot

examples/local/cluster-config.yaml

@@ -4,7 +4,7 @@
 # The system administrator must have `sudo` access to the local nodes.
 # Requirements:
 #   1) Python (> 3.6) on all nodes.
-#   2) Ray CLI (= 2.0.1) on all nodes.
+#   2) Ray CLI (= 2.2.0) on all nodes.
 #
 # Example usage:
 #   >> sky admin deploy cluster-config.yaml

sky/backends/cloud_vm_ray_backend.py

@@ -194,7 +194,7 @@ def add_prologue(self,
         # Should use 'auto' or 'ray://<internal_head_ip>:10001' rather than
         # 'ray://localhost:10001', or 'ray://127.0.0.1:10001', for public cloud.
         # Otherwise, it will a bug of ray job failed to get the placement group
-        # in ray <= 2.0.1.
+        # in ray <= 2.2.0.
         # TODO(mluo): Check why 'auto' not working with on-prem cluster and
         # whether the placement group issue also occurs in on-prem cluster.
         ray_address = 'ray://localhost:10001' if is_local else 'auto'
@@ -1623,7 +1623,7 @@ def _ensure_cluster_ray_started(self,
         if isinstance(launched_resources.cloud, clouds.Local):
             raise RuntimeError(
                 'The command `ray status` errored out on the head node '
-                'of the local cluster. Check if ray[default]==2.0.1 '
+                'of the local cluster. Check if ray[default]==2.2.0 '
                 'is installed or running correctly.')
         backend.run_on_head(handle, 'ray stop', use_cached_head_ip=False)
 

sky/design_docs/onprem-design.md

@@ -9,7 +9,7 @@
 - Does not support different types of accelerators within the same node (intranode).
 
 ## Installing Ray and SkyPilot 
-- Admin installs Ray==2.0.1 and SkyPilot globally on all machines. It is assumed that the admin regularly keeps SkyPilot updated on the cluster.
+- Admin installs Ray==2.2.0 and SkyPilot globally on all machines. It is assumed that the admin regularly keeps SkyPilot updated on the cluster.
 - Python >= 3.6 for all users.
 - When a regular user runs `sky launch`, a local version of SkyPilot will be installed on the machine for each user. The local installation of Ray is specified in `sky/templates/local-ray.yml.j2`.
 

sky/setup_files/setup.py

@@ -64,9 +64,9 @@ def parse_readme(readme: str) -> str:
 
 install_requires = [
     'wheel',
-    # NOTE: ray 2.0.1 requires click<=8.0.4,>=7.0; We disable the
+    # NOTE: ray 2.2.0 requires click>=7.0; We disable the
     # shell completion for click<8.0 for backward compatibility.
-    'click<=8.0.4,>=7.0',
+    'click>=7.0',
     # NOTE: required by awscli. To avoid ray automatically installing
     # the latest version.
     'colorama<0.4.5',

sky/skylet/LICENCE

@@ -203,19 +203,19 @@
 --------------------------------------------------------------------------------
 
 Code in providers/azure from
-https://github.com/ray-project/ray/tree/ray-2.0.1/python/ray/autoscaler/_private/_azure
-Git commit of the release 2.0.1: 03b6bc7b5a305877501110ec04710a9c57011479
+https://github.com/ray-project/ray/tree/ray-2.2.0/python/ray/autoscaler/_private/_azure
+Git commit of the release 2.2.0: 840215bc09e942b50cad0ab2db96a8fdc79217c1
 
 Code in providers/gcp from
-https://github.com/ray-project/ray/tree/ray-2.0.1/python/ray/autoscaler/_private/gcp
-Git commit of the release 2.0.1: 03b6bc7b5a305877501110ec04710a9c57011479
+https://github.com/ray-project/ray/tree/ray-2.2.0/python/ray/autoscaler/_private/gcp
+Git commit of the release 2.2.0: 840215bc09e942b50cad0ab2db96a8fdc79217c1
 
 Code in providers/aws from
-https://github.com/ray-project/ray/tree/ray-2.0.1/python/ray/autoscaler/_private/aws
-Git commit of the release 2.0.1: 03b6bc7b5a305877501110ec04710a9c57011479
+https://github.com/ray-project/ray/tree/ray-2.2.0/python/ray/autoscaler/_private/aws
+Git commit of the release 2.2.0: 840215bc09e942b50cad0ab2db96a8fdc79217c1
 
 
-Copyright 2016-2022 Ray developers
+Copyright 2016-2023 Ray developers
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.

sky/skylet/constants.py

@@ -2,7 +2,7 @@
 
 SKY_LOGS_DIRECTORY = '~/sky_logs'
 SKY_REMOTE_WORKDIR = '~/sky_workdir'
-SKY_REMOTE_RAY_VERSION = '2.0.1'
+SKY_REMOTE_RAY_VERSION = '2.2.0'
 
 # TODO(mluo): Make explicit `sky launch -c <name> ''` optional.
 UNINITIALIZED_ONPREM_CLUSTER_MESSAGE = (

sky/skylet/job_lib.py

@@ -389,7 +389,7 @@ def update_job_status(job_owner: str,
     during job cancelling, we still need this to handle the staleness problem,
     caused by instance restarting and other corner cases (if any).
 
-    This function should only be run on the remote instance with ray==2.0.1.
+    This function should only be run on the remote instance with ray==2.2.0.
     """
     if len(job_ids) == 0:
         return []
@@ -399,7 +399,7 @@ def update_job_status(job_owner: str,
 
     job_client = _create_ray_job_submission_client()
 
-    # In ray 2.0.1, job_client.list_jobs returns a list of JobDetails,
+    # In ray 2.2.0, job_client.list_jobs returns a list of JobDetails,
     # which contains the job status (str) and submission_id (str).
     job_detail_lists: List['ray_pydantic.JobDetails'] = job_client.list_jobs()