When I run ray.remote with image_uri as the parameter, it is successful, but when I change it to ray_derve, it cannot run successfully

[zhouhangzone]

What happened + What you expected to happen

this is Dockerfile

# 使用 Miniconda 作为基础镜像

FROM continuumio/miniconda3

# 设置工作目录

WORKDIR /app

# 创建 Conda 环境

RUN conda create --name kolors python=3.10.12

RUN echo "conda activate kolors" >> ~/.bashrc

ENV PATH /opt/conda/envs/kolors/bin:$PATH

# 设置 pip 镜像源为国内源（比如阿里云镜像）

RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple

# 安装 Ray 和其他依赖

RUN pip install --upgrade pip

# 将本地的 requirements.txt 复制到容器中的 /app 目录

COPY requirements.txt /app/requirements.txt

# 安装项目的 Python 依赖

RUN pip install -r /app/requirements.txt

# 只需保持环境配置，不需要启动 app.py

# 最终，容器本身不启动任何程序，只需提供环境

CMD ["/bin/bash"]

this is requirements.txt

emoji

### this is ray.remoto

import ray

runtime_env = {"image_uri": "localhost/kolor_podman_ray"}

ray.init(runtime_env=runtime_env)

@ray.remote
def f():
  import emoji
  return emoji.emojize('Python is :thumbs_up:')

print(ray.get(f.remote()))

this is ray serve

import ray
from ray import serve
from fastapi import FastAPI
import ray

# 创建 FastAPI 应用
app = FastAPI()

# 定义 Ray Serve 部署类
@serve.deployment(num_replicas=2)
@serve.ingress(app)
class EmojiService:

    
    def __init__(self):
        pass

    @app.get("/emoji")
    def get_emoji(self):
        import emoji
        # 处理请求，返回表情字符串
        return emoji.emojize('Python is :thumbs_up:')

# 绑定服务
app= EmojiService.options(ray_actor_options={"runtime_env": {"image_uri": "localhost/kolor_podman_ray"}}).bind()

Versions / Dependencies

ray Version: 2.42.1
python = 3.10.12

Reproduction script

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Issue Severity

High: It blocks me from completing my task.