ray/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"
]