【问题标题】:How to install a custom OpenAI Gym environment on a server with no internet connection如何在没有互联网连接的服务器上安装自定义 OpenAI Gym 环境
【发布时间】:2020-02-11 05:50:49
【问题描述】:

我正在尝试在没有互联网的远程计算机上安装custom OpenAI gym environment

我将所有文件从主节点转移到远程机器上。

然后尝试安装gym环境如下:

(tf-gpu) [username@localhost gym-CartPole-bt-v0]$ pip install -e .
Obtaining file:///home/username/code/openai/gym-CartPole-bt-v0
Requirement already satisfied: gym in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym-CartPole-BT==0.0.1) (0.16.0)
Requirement already satisfied: pyglet<=1.5.0,>=1.4.0 in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym->gym-CartPole-BT==0.0.1) (1.4.10)
WARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.VerifiedHTTPSConnection object at 0x7f6acfdc9b50>: Failed to establish a new connection: [Errno -2] Name or service not known')': /simple/cloudpickle/

...

ERROR: Could not find a version that satisfies the requirement cloudpickle~=1.2.0 (from gym->gym-CartPole-BT==0.0.1) (from versions: none)
ERROR: No matching distribution found for cloudpickle~=1.2.0 (from gym->gym-CartPole-BT==0.0.1)

我不确定 cloudpickle 是什么,也不知道为什么它需要在这个过程中访问互联网。

但我确实检查了,我安装了更新版本的 cloudpickle:

$ conda list
# packages in environment at /home/username/miniconda3/envs/tf-gpu:
#
# Name                    Version                   Build  Channel
...
cloudpickle               1.3.0                    pypi_0    pypi
...

谁能解释这里发生了什么以及解决它的任何想法?

【问题讨论】:

  • 更新并不总是适用于所有库。尝试安装 cloudpicke 的确切版本 1.2.0 并重新安装。

标签: python pip installation openai-gym


【解决方案1】:

我回到主节点并运行以下命令,它似乎将 cloudpickle 版本改回:

(tf-gpu) [username@hostname gym-CartPole-bt-v0]$ pip install gym
Requirement already satisfied: gym in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (0.16.0)
Requirement already satisfied: numpy>=1.10.4 in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym) (1.18.1)
Requirement already satisfied: pyglet<=1.5.0,>=1.4.0 in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym) (1.4.10)
Requirement already satisfied: six in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym) (1.14.0)
Collecting cloudpickle~=1.2.0
  Using cached cloudpickle-1.2.2-py2.py3-none-any.whl (25 kB)
Requirement already satisfied: scipy in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym) (1.4.1)
Requirement already satisfied: future in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from pyglet<=1.5.0,>=1.4.0->gym) (0.18.2)
Installing collected packages: cloudpickle
  Attempting uninstall: cloudpickle
    Found existing installation: cloudpickle 1.3.0
    Uninstalling cloudpickle-1.3.0:
      Successfully uninstalled cloudpickle-1.3.0
Successfully installed cloudpickle-1.2.2

【讨论】:

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