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polymamylop
Asked:2024-12-06 09:17:20 +0000 UTC2024-12-06 09:17:20 +0000 UTC

创建 Docker 容器时遇到的问题

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我安装了 OpenAi Universe

cd ~ git clone https://github.com/openai/universe.git
cd universe
pip install -e .

安装过程中出现这样的消息：

Obtaining file:///Users/user/universe
  Preparing metadata (setup.py) ... done
Requirement already satisfied: universe in /Users/user/universe (0.21.5)
Requirement already satisfied: autobahn>=0.16.0 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from universe==0.21.5) (24.4.2)
Requirement already satisfied: docker-py==1.10.3 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from universe==0.21.5) (1.10.3)
Requirement already satisfied: docker-pycreds==0.2.1 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from universe==0.21.5) (0.2.1)
Requirement already satisfied: fastzbarlight>=0.0.13 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from universe==0.21.5) (0.0.14)
Requirement already satisfied: go-vncdriver>=0.4.8 in /Users/danilabrikanov/go-vncdriver (from universe==0.21.5) (0.4.19)
Requirement already satisfied: gym>=0.8.1 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from universe==0.21.5) (0.26.2)
Requirement already satisfied: Pillow>=3.3.0 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from universe==0.21.5) (10.4.0)
Requirement already satisfied: PyYAML>=3.12 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from universe==0.21.5) (6.0.1)
Requirement already satisfied: six>=1.10.0 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from universe==0.21.5) (1.16.0)
Requirement already satisfied: twisted>=16.5.0 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from universe==0.21.5) (23.10.0)
Requirement already satisfied: ujson>=1.35 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from universe==0.21.5) (5.10.0)
Requirement already satisfied: requests<2.11,>=2.5.2 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from docker-py==1.10.3->universe==0.21.5) (2.10.0)
Requirement already satisfied: websocket-client>=0.32.0 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from docker-py==1.10.3->universe==0.21.5) (1.8.0)
Requirement already satisfied: txaio>=21.2.1 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from autobahn>=0.16.0->universe==0.21.5) (23.1.1)
Requirement already satisfied: cryptography>=3.4.6 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from autobahn>=0.16.0->universe==0.21.5) (43.0.0)
Requirement already satisfied: hyperlink>=21.0.0 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from autobahn>=0.16.0->universe==0.21.5) (21.0.0)
Requirement already satisfied: setuptools in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from autobahn>=0.16.0->universe==0.21.5) (75.1.0)
Requirement already satisfied: numpy in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from go-vncdriver>=0.4.8->universe==0.21.5) (1.26.4)
Requirement already satisfied: cloudpickle>=1.2.0 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from gym>=0.8.1->universe==0.21.5) (3.0.0)
Requirement already satisfied: gym_notices>=0.0.4 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from gym>=0.8.1->universe==0.21.5) (0.0.8)
Requirement already satisfied: attrs>=21.3.0 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from twisted>=16.5.0->universe==0.21.5) (23.1.0)
Requirement already satisfied: automat>=0.8.0 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from twisted>=16.5.0->universe==0.21.5) (20.2.0)
Requirement already satisfied: constantly>=15.1 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from twisted>=16.5.0->universe==0.21.5) (23.10.4)
Requirement already satisfied: incremental>=22.10.0 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from twisted>=16.5.0->universe==0.21.5) (22.10.0)
Requirement already satisfied: typing-extensions>=4.2.0 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from twisted>=16.5.0->universe==0.21.5) (4.11.0)
Requirement already satisfied: zope-interface>=5 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from twisted>=16.5.0->universe==0.21.5) (5.4.0)
Requirement already satisfied: cffi>=1.12 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from cryptography>=3.4.6->autobahn>=0.16.0->universe==0.21.5) (1.17.1)
Requirement already satisfied: idna>=2.5 in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from hyperlink>=21.0.0->autobahn>=0.16.0->universe==0.21.5) (3.7)
Requirement already satisfied: pycparser in /opt/anaconda3/envs/universe2/lib/python3.10/site-packages (from cffi>=1.12->cryptography>=3.4.6->autobahn>=0.16.0->universe==0.21.5) (2.21)
Installing collected packages: universe
  Attempting uninstall: universe
    Found existing installation: universe 0.21.5
    Uninstalling universe-0.21.5:
      Successfully uninstalled universe-0.21.5
  DEPRECATION: Legacy editable install of universe==0.21.5 from file:///Users/user/universe (setup.py develop) is deprecated. pip 25.0 will enforce this behaviour change. A possible replacement is to add a pyproject.toml or enable --use-pep517, and use setuptools >= 64. If the resulting installation is not behaving as expected, try using --config-settings editable_mode=compat. Please consult the setuptools documentation for more information. Discussion can be found at https://github.com/pypa/pip/issues/11457
  Running setup.py develop for universe
Successfully installed universe

接下来我需要创建一个 Docker 镜像：

docker build -t universe .

运行该命令后，创建时出现错误：

[+] Building 3.2s (10/18)                                  docker:desktop-linux
 => [internal] load build definition from Dockerfile                       0.0s
 => => transferring dockerfile: 1.48kB                                     0.0s
 => [internal] load metadata for docker.io/library/ubuntu:16.04            3.0s
 => [auth] library/ubuntu:pull token for registry-1.docker.io              0.0s
 => [internal] load .dockerignore                                          0.0s
 => => transferring context: 66B                                           0.0s
 => [ 1/13] FROM docker.io/library/ubuntu:16.04@sha256:1f1a2d56de1d604801  0.0s
 => [internal] load build context                                          0.0s
 => => transferring context: 13.44kB                                       0.0s
 => CACHED [ 2/13] RUN apt-get update     && apt-get install -y libav-too  0.0s
 => CACHED [ 3/13] RUN true                                                0.0s
 => CACHED [ 4/13] RUN ln -sf /usr/bin/pip3 /usr/local/bin/pip     && ln   0.0s
 => ERROR [ 5/13] RUN pip install gym[all]                                 0.2s
------                                                                          
 > [ 5/13] RUN pip install gym[all]:                                            
0.164 Traceback (most recent call last):                                        
0.164   File "/usr/local/bin/pip", line 7, in <module>                          
0.164     from pip._internal.cli.main import main                               
0.164   File "/usr/local/lib/python3.5/dist-packages/pip/_internal/cli/main.py", line 67
0.164     sys.stderr.write(f"ERROR: {exc}")
0.164                                    ^
0.164 SyntaxError: invalid syntax
------
Dockerfile:36
--------------------
  34 |     
  35 |     # Install gym
  36 | >>> RUN pip install gym[all]
  37 |     
  38 |     # Get the faster VNC driver
--------------------
ERROR: failed to solve: process "/bin/sh -c pip install gym[all]" did not complete successfully: exit code: 1

View build details: docker-desktop://dashboard/build/desktop-linux/desktop-linux/lzvq2rrk75dfl8bh6pc8k4wsr

我能做些什么来解决这个问题，我读了 Sudharsan Ravichandiran 的书《Python 中的深度强化学习》。因为这个问题我无法继续阅读。

Dockerfile：

FROM ubuntu:16.04

RUN apt-get update \
    && apt-get install -y libav-tools \
    python3-numpy \
    python3-scipy \
    python3-setuptools \
    python3-pip \
    libpq-dev \
    libjpeg-dev \
    curl \
    cmake \
    swig \
    python3-opengl \
    libboost-all-dev \
    libsdl2-dev \
    wget \
    unzip \
    git \
    golang \
    net-tools \
    iptables \
    libvncserver-dev \
    software-properties-common \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

ARG BASE_COMMAND="true"
RUN $BASE_COMMAND

RUN ln -sf /usr/bin/pip3 /usr/local/bin/pip \
    && ln -sf /usr/bin/python3 /usr/local/bin/python \
    && pip install -U pip

# Install gym
RUN pip install gym[all]

# Get the faster VNC driver
RUN pip install go-vncdriver>=0.4.0

# Install pytest (for running test cases)
RUN pip install pytest

# Force the container to use the go vnc driver
ENV UNIVERSE_VNCDRIVER='go'

WORKDIR /usr/local/universe/

# Cachebusting
COPY ./setup.py ./
COPY ./tox.ini ./

RUN pip install -e .

# Upload our actual code
COPY . ./

# Just in case any python cache files were carried over from the source directory, remove them
RUN py3clean .
python

1 个回答

  1. Best Answer

    更新

    编译好的docker将无法运行。从Python 3.7开始，标识符async是一个关键字，并且在源代码中universal有一个赋值async = что-то-там()。此时执行崩溃了。

    我尝试在 3.6 中编译 - 它不起作用gym。

    显然你需要找到一本更新的书。

    不工作 试试这个 Dockerfile。它基于较新版本的 Ubuntu 构建，并从 python 包集合中收集最新版本的 numpy 和 scipy。

    FROM ubuntu:20.04

RUN apt-get clean
RUN apt-get update 

RUN apt install python3 python3-pip -y
RUN /usr/bin/python3 -m pip install -U pip
RUN /usr/bin/python3 -m pip install setuptools
RUN /usr/bin/python3 -m pip install numpy scipy 

ENV DEBIAN_FRONTEND noninteractive
RUN apt install tzdata -y

RUN apt-get install -y ffmpeg \
    libpq-dev \
    libjpeg-dev \
    curl \
    cmake \
    swig \
# python3-numpy \
# python3-scipy \
# python3-setuptools \
# python3-pip \
    python3-opengl \
    libboost-all-dev \
    libsdl2-dev \
    wget \
    unzip \
    git \
    golang \
    net-tools \
    iptables \
    libvncserver-dev \
    software-properties-common


RUN apt-get clean 
RUN rm -rf /var/lib/apt/lists/*

RUN ln -sf /usr/bin/pip3 /usr/local/bin/pip \
    && ln -sf /usr/bin/python3 /usr/local/bin/python \
    && pip install -U pip

# Install gym
RUN pip install gym[all]

# Get the faster VNC driver
RUN pip install go-vncdriver>=0.4.0

# Install pytest (for running test cases)
RUN pip install pytest

# Force the container to use the go vnc driver
ENV UNIVERSE_VNCDRIVER 'go'

WORKDIR /usr/local/universe/

# Cachebusting
COPY ./setup.py ./
COPY ./tox.ini ./

RUN pip install -e .

# Upload our actual code
COPY . ./

# Just in case any python cache files were carried over from the source directory, remove them
RUN py3clean .

    我不知道你会用这个镜像做什么，也不知道由于 python 版本不一致可能会出现什么问题，但至少它是构建出来的。

    • 1

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