Make it possible to run ray examples as projects (#5816)

doc/examples/parameter_server/.rayproject/cluster.yaml

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+# This file is generated by `ray project create`.
+
+# A unique identifier for the head node and workers of this cluster.
+cluster_name: ray-example-parameter-server
+
+# The maximum number of workers nodes to launch in addition to the head
+# node. This takes precedence over min_workers. min_workers defaults to 0.
+max_workers: 1
+
+# Cloud-provider specific configuration.
+provider:
+    type: aws
+    region: us-west-2
+    availability_zone: us-west-2a
+
+# How Ray will authenticate with newly launched nodes.
+auth:
+    ssh_user: ubuntu

doc/examples/parameter_server/.rayproject/project.yaml

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+# This file is generated by `ray project create`.
+
+name: ray-example-parameter-server
+
+description: "A simple parameter server example implemented with ray actors"
+tags: ["ray-example", "parameter-server", "machine-learning"]
+documentation: https://ray.readthedocs.io/en/latest/auto_examples/plot_parameter_server.html
+
+cluster: .rayproject/cluster.yaml
+
+environment:
+  requirements: .rayproject/requirements.txt
+
+commands:
+  - name: run-sync
+    command: python sync_parameter_server.py --num-workers {{num_workers}}
+    help: "Start the synchronous parameter server."
+    params:
+      - name: num-workers
+        help: "Number of workers"
+        default: 4
+        type: int
+    config:
+      tmux: true
+
+  - name: run-async
+    command: python async_parameter_server.py --num-workers {{num_workers}}
+    help: "Start the asynchronous parameter server."
+    params:
+      - name: num-workers
+        help: "Number of workers"
+        default: 4
+        type: int
+    config:
+      tmux: true
+
+output_files: [
+  # Save the logs from the latest run in snapshots.
+  "/tmp/ray/session_latest/logs"
+]

doc/examples/parameter_server/.rayproject/requirements.txt

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+ray[debug,rllib]
+torch
+torchvision
+filelock