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Learn: Ray
[ci skip] Signed-off-by: Jonghyun Park <parjong@gmail.com>
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‎.gitignore‎

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/uv.lock

‎.python-version‎

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3.10

‎0.ray_core.function.log‎

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2025-11-07 21:41:40,603 INFO worker.py:2012 -- Started a local Ray instance.
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2025-11-07 21:41:40,630 INFO packaging.py:588 -- Creating a file package for local module '/home/parjong/craftroom/learn-ray'.
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2025-11-07 21:41:40,673 INFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_4301945bed39b81b.zip' (0.08MiB) to Ray cluster...
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2025-11-07 21:41:40,679 INFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_4301945bed39b81b.zip'.
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/home/parjong/craftroom/learn-ray/.venv/lib/python3.10/site-packages/ray/_private/worker.py:2051: FutureWarning: Tip: In future versions of Ray, Ray will no longer override accelerator visible devices env var if num_gpus=0 or num_gpus=None (default). To enable this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0
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warnings.warn(
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(raylet) warning: `VIRTUAL_ENV=/home/parjong/craftroom/learn-ray/.venv` does not match the project environment path `.venv` and will be ignored; use `--active` to target the active environment instead
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(raylet) Using CPython 3.10.19
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(raylet) Creating virtual environment at: .venv
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(raylet) Installed 18 packages in 226ms
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[0, 1, 4, 9]
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(raylet) warning: `VIRTUAL_ENV=/home/parjong/craftroom/learn-ray/.venv` does not match the project environment path `.venv` and will be ignored; use `--active` to target the active environment instead

‎0.ray_core.function.py‎

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import ray
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ray.init()
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@ray.remote
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def f(x):
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return x * x
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futures = [f.remote(i) for i in range(4)]
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print(ray.get(futures)) # [0, 1, 4, 9]
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# https://docs.ray.io/en/latest/ray-overview/getting-started.html#libraries-quickstart

‎1.ray_core.actor.log‎

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2025-11-07 21:41:48,245 INFO worker.py:2012 -- Started a local Ray instance.
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2025-11-07 21:41:48,272 INFO packaging.py:588 -- Creating a file package for local module '/home/parjong/craftroom/learn-ray'.
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2025-11-07 21:41:48,307 INFO packaging.py:380 -- Pushing file package 'gcs://_ray_pkg_1eec9e354a1f3b8d.zip' (0.08MiB) to Ray cluster...
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2025-11-07 21:41:48,309 INFO packaging.py:393 -- Successfully pushed file package 'gcs://_ray_pkg_1eec9e354a1f3b8d.zip'.
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/home/parjong/craftroom/learn-ray/.venv/lib/python3.10/site-packages/ray/_private/worker.py:2051: FutureWarning: Tip: In future versions of Ray, Ray will no longer override accelerator visible devices env var if num_gpus=0 or num_gpus=None (default). To enable this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0
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warnings.warn(
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(raylet) warning: `VIRTUAL_ENV=/home/parjong/craftroom/learn-ray/.venv` does not match the project environment path `.venv` and will be ignored; use `--active` to target the active environment instead
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(raylet) Using CPython 3.10.19
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(raylet) Creating virtual environment at: .venv
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(raylet) Installed 18 packages in 209ms
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[1, 1, 1, 1]
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(raylet) warning: `VIRTUAL_ENV=/home/parjong/craftroom/learn-ray/.venv` does not match the project environment path `.venv` and will be ignored; use `--active` to target the active environment instead [repeated 3x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)

‎1.ray_core.actor.py‎

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import ray
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ray.init() # Only call this once.
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@ray.remote
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class Counter(object):
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def __init__(self):
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self.n = 0
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def increment(self):
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self.n += 1
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def read(self):
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return self.n
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counters = [Counter.remote() for i in range(4)]
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[c.increment.remote() for c in counters]
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futures = [c.read.remote() for c in counters]
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print(ray.get(futures)) # [1, 1, 1, 1]

‎Makefile‎

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.PHONY: all run sync
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all:
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run:
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./run.sh 0.ray_core.function
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./run.sh 1.ray_core.actor
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sync:
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git add -u
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git commit --amend --no-edit
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git push --force

‎README.md‎

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# prototype
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For fast prototyping!
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## Troubleshooting
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```
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UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf8 in position 0: invalid start byte
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```
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nvidia driver bug? from https://github.com/ray-project/ray/issues/4549
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581.57 is working

‎pyproject.toml‎

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[project]
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name = "learn-ray"
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version = "0.1.0"
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"ray",
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]
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# https://docs.ray.io/en/latest/ray-overview/installation.html

‎run.sh‎

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#!/bin/bash
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(
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uv run python $1.py
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) 2>&1 | tee $1.log

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